{"id":3601,"date":"2020-10-18T12:12:40","date_gmt":"2020-10-18T16:12:40","guid":{"rendered":"https:\/\/melindaozel.com\/?p=3601"},"modified":"2025-02-20T23:34:06","modified_gmt":"2025-02-21T04:34:06","slug":"bias-in-emotion-tracking","status":"publish","type":"post","link":"https:\/\/melindaozel.com\/de_de\/bias-in-emotion-tracking\/","title":{"rendered":"Verzerrungen bei der Verfolgung von Emotionen"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"3601\" class=\"elementor elementor-3601\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-63ad625 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"63ad625\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0a8286b\" data-id=\"0a8286b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1323232 elementor-widget elementor-widget-text-editor\" data-id=\"1323232\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h1>Verzerrungen bei der Verfolgung von Gesichtern und Emotionen<\/h1>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c551995 elementor-widget elementor-widget-text-editor\" data-id=\"c551995\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Wir scheinen uns der beliebten \u00dcbervereinfachung anzuschlie\u00dfen, dass Maschinen weniger voreingenommen sind als Menschen. Wenn Sie jedoch mit der Art und Weise vertraut sind, in der Maschinen darauf trainiert werden, verschiedene Aspekte von Daten zu lesen und sich darauf zu konzentrieren, wissen Sie das: So einfach ist es eben nicht.<\/p><p>Maschinen sind nicht frei von Voreingenommenheit, wenn sie von Menschen trainiert werden.<\/p><p>Im Folgenden werden die verschiedenen Arten von Verzerrungen vorgestellt, die bei der Verfolgung von Gesichtern und der Kennzeichnung von Ausdr\u00fccken auftreten k\u00f6nnen. Viele dieser Verzerrungen k\u00f6nnen reduziert werden; daher habe ich auch Vorschl\u00e4ge f\u00fcr verbesserte Methoden aufgenommen. <strong>Wenn Sie mit Gesichts- und Emotionsverfolgung jeglicher Art arbeiten, liegt es in Ihrer Verantwortung, sich dieser Verzerrungen bewusst zu sein.<\/strong><\/p><p><span style=\"text-decoration: underline;\">Sehen Sie sich die Folien unten an ODER das hier verlinkte Video<\/span>:<strong> YouTube-Video<\/strong><\/p><p style=\"text-align: center;\"><iframe src=\"https:\/\/www.youtube.com\/embed\/TdpdOcGcxkY\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd1c2af elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"dd1c2af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7f148ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7f148ef\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c17381\" data-id=\"7c17381\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b0cfe2d elementor-widget elementor-widget-image\" data-id=\"b0cfe2d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8261\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52a9cb8 elementor-widget elementor-widget-image\" data-id=\"52a9cb8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8260\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Viele Unternehmen, die Gesichter und Emotionen erfassen, versuchen, das Facial Action Coding System (FACS) von Paul Ekman zu verwenden.\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0d557b elementor-widget elementor-widget-text-editor\" data-id=\"c0d557b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 500;\"><span style=\"font-weight: 300;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span>Viele Gesichter und Emotionen verfolgen<\/span><span style=\"font-weight: 300;\"> Unternehmen <\/span><i><span style=\"font-weight: 300;\">Versuchen Sie<\/span><\/i><span style=\"font-weight: 300;\"> Paul Ekman zu verwenden <\/span><span style=\"font-weight: 300;\">Kodierungssystem f\u00fcr Gesichtsaktion<\/span><span style=\"font-weight: 300;\"> (FACS)\u00a0<br \/><\/span><span style=\"font-weight: 500;\">- aber viele nehmen sich nicht die Zeit, sie richtig zu nutzen.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd5253f elementor-widget elementor-widget-image\" data-id=\"dd5253f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8259\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-expression-classification.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-797ce99 elementor-widget elementor-widget-text-editor\" data-id=\"797ce99\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span>Was passiert, wenn man FACS nicht richtig einsetzt?<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"text-decoration: underline;\"><span style=\"font-weight: 300;\">falsche Klassifizierung des Ausdrucks<\/span><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">inkonsistente Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Anarchie<\/span><\/li><\/ul><p><span style=\"font-weight: 300;\">Selbst bei ordnungsgem\u00e4\u00dfer Anwendung von FACS wird es immer Verzerrungen und Unstimmigkeiten geben - durch sorgf\u00e4ltige Ma\u00dfnahmen lassen sich diese Probleme jedoch erheblich verringern.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f28cbb2 elementor-widget elementor-widget-image\" data-id=\"f28cbb2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8264\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Falsche Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fee0767 elementor-widget elementor-widget-text-editor\" data-id=\"fee0767\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>falsche Klassifizierung des Ausdrucks<\/b><\/span><\/p><ul><li><span style=\"font-weight: 300;\">Gesichtshandlungen sind subtil und ohne intensives Studium nur schwer zu unterscheiden.<\/span><\/li><li><span style=\"font-weight: 300;\">Die meisten FACS-Referenzen (<\/span><i><span style=\"font-weight: 300;\">ohne<\/span><\/i><span style=\"font-weight: 300;\"> das urspr\u00fcngliche FACS-Handbuch) liefern falsche FACS-Bilder - selbst Quellen, die als glaubw\u00fcrdig gelten.<\/span><\/li><li><span style=\"font-weight: 300;\">Trotz dieser Ungenauigkeiten werden solche Quellen von Ingenieuren und Forschern im Bereich der Gesichtserkennung h\u00e4ufig als Referenz verwendet.\u00a0<\/span><\/li><li><span style=\"font-weight: 500;\">Da Technologieunternehmen nicht genug in datenbasierte Funktionen investieren, verf\u00fcgen sie wahrscheinlich nicht \u00fcber die richtigen Mitarbeiter oder Ressourcen, um wichtige Gesichtsaktionen zu unterscheiden.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-48305e2 elementor-widget elementor-widget-image\" data-id=\"48305e2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8266\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Falsche Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-wrong.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-987ebfe elementor-widget elementor-widget-image\" data-id=\"987ebfe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8268\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Falsche Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7f04535 elementor-widget elementor-widget-text-editor\" data-id=\"7f04535\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>falsche Klassifizierung des Ausdrucks<\/b><\/span><\/p><ul><li><span style=\"font-weight: 300;\">Grundformen wie \"<\/span><span style=\"font-weight: 300;\">Lippenspanner<\/span><span style=\"font-weight: 300;\">\" werden regelm\u00e4\u00dfig mit Aktionen wie \"\" verwechselt.<\/span><span style=\"font-weight: 300;\">Lippenpressen<\/span><span style=\"font-weight: 300;\">\" und\/oder \"<\/span><span style=\"font-weight: 300;\">Lippe<\/span> <span style=\"font-weight: 300;\">Faltenwurf.<\/span><span style=\"font-weight: 300;\">\u201d<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><li><span style=\"font-weight: 300;\">Lippenstraffer<\/span><span style=\"font-weight: 300;\"> ist wichtig f\u00fcr: <\/span><b>Gef\u00fchlsausdr\u00fccke &amp; <\/b><b>Sprachproduktion<\/b><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-244f516 elementor-widget elementor-widget-image\" data-id=\"244f516\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8270\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Falsche Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/incorrect-expression-classification-racial-cultural-and-age-related-bias-in-face-tracking-lip-tightener-AU23.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e30ec9e elementor-widget elementor-widget-text-editor\" data-id=\"e30ec9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>falsche Klassifizierung des Ausdrucks<\/b><\/span><\/p><ul><li><span style=\"font-weight: 300;\">Oben sehen Sie eine echte Darstellung des Lippenstraffers.<\/span><\/li><li><span style=\"font-weight: 300;\">Dies ist nur eine von vielen Formen, die jedes Mal unter dem Radar verschwinden, wenn sie auftauchen: <br \/>\u2013 <strong>falsch unterrichtet<\/strong> \u2013 <strong>falsch klassifiziert<\/strong> \u2013 <strong>missbraucht<\/strong><\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ccb0ff elementor-widget elementor-widget-image\" data-id=\"0ccb0ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8271\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Inkonsistente Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4cc0dec elementor-widget elementor-widget-text-editor\" data-id=\"4cc0dec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: Was passiert, wenn man FACS nicht richtig einsetzt?<\/span><\/span><\/p><ul><li style=\"list-style-type: none;\"><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">falsche Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"text-decoration: underline;\"><span style=\"font-weight: 300;\">inkonsistente Klassifizierung des Ausdrucks<\/span><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Anarchie<\/span><ul><li style=\"list-style-type: none;\">\u00a0<\/li><\/ul><\/li><\/ul><\/li><\/ul><p><span style=\"font-weight: 300;\">Selbst bei ordnungsgem\u00e4\u00dfer Anwendung von FACS wird es immer Verzerrungen und Unstimmigkeiten geben - durch sorgf\u00e4ltige Ma\u00dfnahmen lassen sich diese Probleme jedoch erheblich verringern.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ad0afa elementor-widget elementor-widget-image\" data-id=\"3ad0afa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8274\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Inkonsistente Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6ffb2e elementor-widget elementor-widget-text-editor\" data-id=\"b6ffb2e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>falsche Klassifizierung des Ausdrucks<\/b><\/span><\/p><p><span style=\"font-weight: 300;\">Dieselben Probleme im Zusammenhang mit einer falschen Klassifizierung <\/span><span style=\"font-weight: 300;\">tragen ebenfalls zu einer uneinheitlichen Klassifizierung bei.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-481e68e elementor-widget elementor-widget-image\" data-id=\"481e68e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8277\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Inkonsistente Klassifizierung von Ausdr\u00fccken\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9006a6 elementor-widget elementor-widget-text-editor\" data-id=\"b9006a6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>inkonsistente Klassifizierung des Ausdrucks<\/b><\/span><\/p><p><span style=\"font-weight: 500;\">Wenn Technologieunternehmen nicht gr\u00fcndlich in die Datenqualit\u00e4t investieren,\u00a0<\/span><span style=\"font-weight: 500;\">ihre Datenklassifizierungsregeln k\u00f6nnen nicht standardisiert werden.<\/span><span style=\"font-weight: 500;\"><br \/><\/span><\/p><p><span style=\"font-weight: 300;\">Aufgrund von:<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">mangelnde Investitionen in die Einstellung und\/oder Ausbildung von Mitarbeitern f\u00fcr datengest\u00fctzte Aufgaben<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">ein Mangel an hochwertigen FACS-Ressourcen\u00a0<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">eine inh\u00e4rente Schwierigkeit bei der Unterscheidung von Handlungen im Gesicht<\/span><\/li><\/ul><p><b>\u2192<\/b> <span style=\"font-weight: 300;\">Die Etikettierer klassifizieren die Ausdr\u00fccke uneinheitlich.<br \/><\/span><b>\u2192<\/b><span style=\"font-weight: 300;\"> F\u00e4hrtenleser entwickeln seltsame Macken, indem sie falsche Ausdr\u00fccke miteinander verkn\u00fcpfen und andere verwirren.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5335ce6 elementor-widget elementor-widget-image\" data-id=\"5335ce6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8279\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-pipeline-failure.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69f8c8b elementor-widget elementor-widget-text-editor\" data-id=\"69f8c8b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><b>inkonsistente Klassifizierung des Ausdrucks<\/b><\/span><\/p><p><b>HINWEIS: <\/b><span style=\"font-weight: 300;\">Dieses Diagramm wurde erstellt, um Probleme bei der Formaktivierung von Avataren zu erkl\u00e4ren, aber die gleichen grundlegenden Konzepte gelten auch f\u00fcr die Gesichts- und Gef\u00fchlsverfolgung.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb225b5 elementor-widget elementor-widget-image\" data-id=\"eb225b5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8282\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-inconsistent-data-classification-bias.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81b0354 elementor-widget elementor-widget-text-editor\" data-id=\"81b0354\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: Was passiert, wenn man FACS nicht richtig einsetzt?<\/span><\/span><\/p><ul><li style=\"list-style-type: none;\"><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">falsche Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">inkonsistente Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"text-decoration: underline;\"><span style=\"font-weight: 300;\">voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/span><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Anarchie<\/span><ul><li style=\"list-style-type: none;\">\u00a0<\/li><\/ul><\/li><\/ul><\/li><\/ul><p><span style=\"font-weight: 300;\">Selbst bei ordnungsgem\u00e4\u00dfer Anwendung von FACS wird es immer Verzerrungen und Unstimmigkeiten geben - durch sorgf\u00e4ltige Ma\u00dfnahmen lassen sich diese Probleme jedoch erheblich verringern.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-382895f elementor-widget elementor-widget-image\" data-id=\"382895f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8286\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: verzerrte Etikettierung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03850e1 elementor-widget elementor-widget-text-editor\" data-id=\"03850e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Wenn Ausdrucksbezeichnungen schlecht definiert sind und schlecht verstanden werden, k\u00f6nnen kleine Fehler zu gro\u00dfen Verzerrungen f\u00fchren.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3b8235 elementor-widget elementor-widget-image\" data-id=\"f3b8235\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8287\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: verzerrte Etikettierung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-664c10d elementor-widget elementor-widget-text-editor\" data-id=\"664c10d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Bevor wir uns mit den Verzerrungen befassen, die bei der Gesichtsverfolgungstechnologie auftreten k\u00f6nnen, sollten wir die bereits bestehenden Verzerrungen bei der Technologie zur Identifizierung von Merkmalen, der Gesichtserkennung, betrachten.<br \/><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f59553a elementor-widget elementor-widget-image\" data-id=\"f59553a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8326\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-biased-labeling-feature-detection-failures.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2712cf2 elementor-widget elementor-widget-text-editor\" data-id=\"2712cf2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Wenn wir nicht einmal die Erkennung von Merkmalen richtig hinbekommen, k\u00f6nnen Sie sich vorstellen, wie kompliziert die Mimikerkennung sein kann. Die Mimikerkennung erfordert ein Verst\u00e4ndnis, das \u00fcber die Gesichtsmerkmale hinausgeht. Sie erfordert ein Verst\u00e4ndnis der subtilen Gesichtsbewegungen.<br \/><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8060670 elementor-widget elementor-widget-image\" data-id=\"8060670\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8288\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Studien haben immer wieder gezeigt, dass Menschen Gesichter aus verschiedenen Kulturen deutlich schlechter interpretieren k\u00f6nnen.\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-09b025f elementor-widget elementor-widget-text-editor\" data-id=\"09b025f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong>\n<\/span><\/span>\n\n<span style=\"font-weight: 300;\">Studien haben immer wieder gezeigt, dass Menschen Gesichter aus anderen Kulturen deutlich schlechter interpretieren k\u00f6nnen.<\/span>\n<ul>\n<sup>Blais, Caroline &amp; Jack, Rachael &amp; Scheepers, Christoph &amp; Fiset, Daniel &amp; Caldara, Roberto. Culture Shapes How We Look at Faces. (2008).PloS one. 3. e3022. 10.1371\/journal.pone.0003022.<\/sup>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-638b6a8 elementor-widget elementor-widget-image\" data-id=\"638b6a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8290\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen:\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-cultures-and-emotion-research.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c71ee5 elementor-widget elementor-widget-text-editor\" data-id=\"0c71ee5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Menschen nehmen beim Betrachten von Gesichtern unterschiedliche Informationen auf und suchen bei der Interpretation von Emotionen nach unterschiedlichen Anhaltspunkten.\u00a0<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Die Kultur hat gro\u00dfen Einfluss darauf, was wir als wertvolle Informationen und Hinweise betrachten.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><\/ul><p><span style=\"font-weight: 300;\">Studien haben ergeben:<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"2\"><b>ostasiatisch<\/b> <span style=\"font-weight: 300;\">Teilnehmer <\/span><span style=\"font-weight: 300;\">neigen dazu, sich auf die Mitte des Gesichts, um die Nase herum, zu konzentrieren und den Augen und der Blickrichtung mehr Bedeutung beizumessen.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><b>Westkaukasisch <\/b><span style=\"font-weight: 300;\">die Teilnehmer neigen dazu, den Ausdruck von Emotionen in den Augenbrauen und der Mundpartie zu suchen<\/span><\/li><li style=\"font-weight: 500;\" aria-level=\"2\"><span style=\"font-weight: 500;\">Diese Unterschiede in der Aufmerksamkeit f\u00fchren zu Verzerrungen, wenn die Teilnehmer Gesichter mit widerspr\u00fcchlichen Ausdr\u00fccken betrachten<br \/><\/span><span style=\"font-weight: 300;\">z.B. Wenn es traurige Augen mit einem gl\u00fccklichen Mund gibt:<br \/><\/span><span style=\"font-weight: 300;\">- Japanische Teilnehmer legen mehr Wert auf Emotionen in den Augen<br \/><\/span><span style=\"font-weight: 300;\">- Die amerikanischen Teilnehmer achten mehr auf den Mundbereich.<\/span><\/li><\/ul><p>\u00a0<\/p><p><sup>1. Blais, C., Jack, R. E., Scheepers, C., Fiset, D., und Caldara, R. (2008). Kultur pr\u00e4gt, wie wir Gesichter betrachten. PLoS ONE 3:e3022. doi: 10.1371\/journal.pone.0003022<br \/><\/sup><sup>2. Elfenbein, H. A., &amp; Ambady, N. (2003). Universelle und kulturelle Unterschiede beim Erkennen von Emotionen. Current Directions in Psychological Science, 12(5), 159-164.<br \/><\/sup><sup>3. Matsumoto, D., Kasri, F., &amp; Kooken, K. (1999). Amerikanisch-japanische Kulturunterschiede bei der Beurteilung der Ausdrucksintensit\u00e4t und des subjektiven Erlebens. Cognition &amp; Emotion, 13(2), 201-218.<br \/><\/sup><sup>4. Matsumoto, D., &amp; Ekman, P. (1989). Amerikanisch-japanische Kulturunterschiede bei der Bewertung der Intensit\u00e4t von Gesichtsausdr\u00fccken von Emotionen. Motivation and Emotion, 13(2), 143-157.<br \/><\/sup><sup>5. Marsh, A. A., Elfenbein, H. A., &amp; Ambady, N. (2003). Nonverbale \"Akzente\" - kulturelle Unterschiede im Gesichtsausdruck von Emotionen. Psychological Science, 14(4), 373-376.<br \/><\/sup><sup>6. Yuki, M., Maddux, W. W., &amp; Masuda, T. (2007). Sind die Fenster zur Seele in Ost und West dieselben? Kulturelle Unterschiede bei der Verwendung von Augen und Mund als Indikatoren f\u00fcr die Erkennung von Emotionen in Japan und den Vereinigten Staaten. Zeitschrift f\u00fcr experimentelle Sozialpsychologie, 43(2), 303-311.<\/sup><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7bd886e elementor-widget elementor-widget-image\" data-id=\"7bd886e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8292\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: Ausdrucksbezeichnungen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-82117c0 elementor-widget elementor-widget-text-editor\" data-id=\"82117c0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">\u00dcberlegen Sie nun, was bei der Kennzeichnung von Begriffen zu beachten ist.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7f72d46 elementor-widget elementor-widget-image\" data-id=\"7f72d46\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8295\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: Lippenwinkeldepressoren und \u00e4ltere Menschen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab194df elementor-widget elementor-widget-text-editor\" data-id=\"ab194df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Wenn<\/span><span style=\"font-weight: 300;\"> Lippen-Ecken-Dr\u00fccker<\/span><span style=\"font-weight: 300;\"> nicht richtig verstanden wird, ist es wahrscheinlicher, dass die Etikettierer eine falsche Klassifizierung vornehmen <\/span><span style=\"font-weight: 300;\">jede<\/span><span style=\"font-weight: 300;\"> Form mit abfallenden Lippenecken als <\/span><span style=\"font-weight: 300;\">Lippen-Ecken-Dr\u00fccker<\/span><span style=\"font-weight: 300;\">. Diese falsch klassifizierten Formen werden h\u00e4ufig durch die Auswirkungen von <\/span><span style=\"font-weight: 300;\">Kinnhalter<\/span><span style=\"font-weight: 300;\"> \u2013 <\/span><span style=\"font-weight: 300;\">aber sie k\u00f6nnen auch etwas Schlimmeres beinhalten<\/span><span style=\"font-weight: 300;\">neutrale Gesichter (Gesichter ohne Ausdruck).<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Ein wahrscheinliches Ergebnis dieses Missverst\u00e4ndnisses ist: <\/span><b>\u00dcbererfassung von <\/b><b>Lippen-Ecken-Dr\u00fccker<\/b> <span style=\"font-weight: 300;\">bei Menschen mit h\u00e4ngenden Lippenwinkeln. H\u00e4ufig haben \u00e4ltere Menschen aufgrund der langfristigen Auswirkungen der Schwerkraft h\u00e4ngende Mundwinkel.\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf16622 elementor-widget elementor-widget-image\" data-id=\"bf16622\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8298\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: Lippenwinkeldepressoren und \u00e4ltere Menschen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-lip-corner-depressor-sadness.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8599858 elementor-widget elementor-widget-text-editor\" data-id=\"8599858\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Aufgrund unsachgem\u00e4\u00dfer Kennzeichnungspraktiken kann es bei \u00e4lteren Bev\u00f6lkerungsgruppen zu einer \u00dcbererfassung von<\/span><span style=\"font-weight: 300;\"> Lippen-Ecken-Dr\u00fccker<\/span><span style=\"font-weight: 300;\">.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Der Lippeneckenzieher ist ein wichtiger Bestandteil der Traurigkeit. <\/span><span style=\"font-weight: 300;\">K\u00f6nnte dieser Fehler dazu f\u00fchren, dass Traurigkeit in \u00e4lteren Bev\u00f6lkerungsgruppen \u00fcberm\u00e4\u00dfig oft erkannt wird?<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Was ist mit anderen Gruppen, deren Gesichtsz\u00fcge durch h\u00e4ngende Lippenwinkel gekennzeichnet sind?<\/span><span style=\"font-weight: 300;\"> Werden sie f\u00e4lschlicherweise als \"traurig\" interpretiert werden?<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2dddf7 elementor-widget elementor-widget-image\" data-id=\"b2dddf7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8301\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: Lippenwinkeldepressoren und \u00e4ltere Menschen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-expression-labeling-job-candidates.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-592b3dc elementor-widget elementor-widget-text-editor\" data-id=\"592b3dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Es scheint keine gro\u00dfe Sache zu sein, wenn ein Tracker f\u00e4lschlicherweise <\/span><span style=\"font-weight: 300;\">Lippen-Ecken-Dr\u00fccker <\/span><span style=\"font-weight: 300;\">oder<\/span><span style=\"font-weight: 300;\"> Traurigkeit<\/span><span style=\"font-weight: 300;\">, sondern: <\/span><span style=\"font-weight: 300;\">Was passiert, wenn die Gesichtserkennung f\u00fcr gr\u00f6\u00dfere Dinge wie die Beurteilung der psychischen Gesundheit oder die Bewertung potenzieller Stellenbewerber eingesetzt wird?<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c794a1f elementor-widget elementor-widget-image\" data-id=\"c794a1f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8303\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen:\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-emotion-tech-failure.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fee9bc elementor-widget elementor-widget-text-editor\" data-id=\"6fee9bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">KI analysiert jetzt den Gesichtsausdruck von Bewerbern bei Video-Vorstellungsgespr\u00e4chen - Unilever, IBM, Dunkin Donuts und viele andere nutzen diese Technologie bereits<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Technologie zur Erkennung von Emotionen funktioniert nicht, aber Einstellungsexperten und andere nutzen sie trotzdem: Bericht<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Die KI zur Erkennung von Emotionen ist eine $20-Milliarden-Industrie. Neue Untersuchungen zeigen, dass sie nicht halten kann, was sie behauptet.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-004d1c6 elementor-widget elementor-widget-image\" data-id=\"004d1c6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8305\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: Merkmalsbasierte Verzerrungen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a94e207 elementor-widget elementor-widget-text-editor\" data-id=\"a94e207\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Wir sprachen dar\u00fcber, wie eine unsachgem\u00e4\u00dfe Kennzeichnung zu Vorurteilen gegen\u00fcber \u00e4lteren Bev\u00f6lkerungsgruppen f\u00fchren kann. . .\u00a0<\/span><b>Aber was ist mit anderen Vorurteilen gegen\u00fcber Menschen mit bestimmten Gesichtsz\u00fcgen?<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7ee468 elementor-widget elementor-widget-image\" data-id=\"b7ee468\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8307\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: Merkmalsbasierte Verzerrungen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-angry-smiles.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2d049c elementor-widget elementor-widget-text-editor\" data-id=\"f2d049c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">\". ... Gesichtserkennungsprogramme weisen zwei verschiedene Arten von Verzerrungen auf.<\/span><\/p><p><span style=\"font-weight: 300;\">Erstens, <\/span><b>Schwarze Gesichter wurden bei jedem L\u00e4cheln durchweg als w\u00fctender eingestuft als wei\u00dfe Gesichter. <\/b><span style=\"font-weight: 300;\">Face++ zeigte diese Art von Verzerrung.<\/span> <span style=\"font-weight: 300;\">Zweitens, <\/span><b>schwarze Gesichter wurden immer als w\u00fctender bewertet <\/b><span style=\"font-weight: 300;\">wenn ihr Gesichtsausdruck zweideutig war. Face API zeigte diese Art von Ungleichheit. Selbst wenn schwarze Gesichter teilweise l\u00e4cheln, zeigte meine Analyse, dass die<\/span><span style=\"font-weight: 300;\"> Systeme mehr negative Emotionen annahmen als ihre wei\u00dfen Gegenst\u00fccke mit \u00e4hnlichen Ausdr\u00fccken. <\/span><span style=\"font-weight: 300;\">Die durchschnittlichen emotionalen Werte lagen zwischen den Rassen viel n\u00e4her beieinander, aber es gab immer noch deutliche Unterschiede zwischen schwarzen und wei\u00dfen Gesichtern.\"<\/span><\/p><p><a href=\"https:\/\/singularityhub.com\/2019\/01\/11\/understanding-the-hidden-bias-in-emotion-reading-ais\/\" target=\"_blank\" rel=\"noopener\"><b>Die versteckte Voreingenommenheit von KI, die Emotionen erkennt, verstehen<br \/><\/b><\/a><span style=\"font-weight: 300;\">-Lauren Rhue<\/span><br \/><br \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7794822 elementor-widget elementor-widget-image\" data-id=\"7794822\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8308\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Wie kann das passieren? Lassen Sie uns noch einmal darauf zur\u00fcckkommen, warum es wichtig ist, mehr in Daten zu investieren.\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-invest-in-data.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a037a2 elementor-widget elementor-widget-text-editor\" data-id=\"6a037a2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Wie<\/span><span style=\"font-weight: 300;\"> k\u00f6nnte dies geschehen?\u00a0<\/span><\/p><p><span style=\"font-weight: 300;\">Gehen wir noch einmal darauf ein, warum es wichtig ist, mehr in Daten zu investieren.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aba51c elementor-widget elementor-widget-image\" data-id=\"8aba51c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8311\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: Oberlippe heben\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-upper-lip-raiser.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f206db elementor-widget elementor-widget-text-editor\" data-id=\"6f206db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Betrachten Sie die FACS-Form \"<\/span><span style=\"font-weight: 300;\">Oberlippenheber<\/span><span style=\"font-weight: 300;\">.\" <\/span><span style=\"font-weight: 300;\">Oberlippen-Erh\u00f6hung<\/span><span style=\"font-weight: 300;\"> ist eine Schl\u00fcsselkomponente von Emotionen wie <\/span><b>Abscheu<\/b><span style=\"font-weight: 300;\">, <\/span><b>\u00e4rgern<\/b><span style=\"font-weight: 300;\">,\u00a0<\/span><span style=\"font-weight: 300;\">und <\/span><b>Verachtung<\/b><span style=\"font-weight: 300;\">. <\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><p><span style=\"font-weight: 300;\">Zu den Merkmalen des Oberlippenhebers geh\u00f6ren:<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">aufgeworfene Oberlippe<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">gerundeter oberer Nasolabialfurchenbereich <\/span><span style=\"font-weight: 300;\"><br \/><\/span><span style=\"font-weight: 300;\">(Lachfalte - siehe Foto)<\/span><\/li><\/ul><p><strong>ANMERKUNG<\/strong>: Abgesehen von m\u00f6glichen Verzerrungen bei der Kennzeichnung von Gesichtsbewegungen gibt es auch erhebliche Kontroversen \u00fcber die Theorie der Basisemotionen (z. B. grundlegende Emotionsprototypen wie Verachtung, Wut usw.) im Allgemeinen. Siehe \"'<a href=\"https:\/\/melindaozel.com\/its-all-in-the-eyes-and-other-lies\/\" target=\"_blank\" rel=\"noopener\">Alles liegt in den Augen\" und andere L\u00fcgen.<\/a>\u201c<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7a4aff elementor-widget elementor-widget-image\" data-id=\"d7a4aff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8315\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Nasolabialfurche\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-nasolabial-furrow-lines.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c10953 elementor-widget elementor-widget-text-editor\" data-id=\"1c10953\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Bei manchen Menschen ist die Nasolabialfurche st\u00e4rker gebogen.<\/span><\/p><p><span style=\"font-weight: 300;\">Dies ist einfach ein Produkt ihrer nat\u00fcrlichen Gesichtsstruktur.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8383fe1 elementor-widget elementor-widget-image\" data-id=\"8383fe1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8317\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Nasolabialfurche\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-facial-features-diverse-data.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47a96ac elementor-widget elementor-widget-text-editor\" data-id=\"47a96ac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Ein Etikettierer, der sich nicht gut mit dem Facial Action Coding System auskennt, kann Personen mit nicht ausdrucksbasierten Nasolabialfurchen leicht f\u00e4lschlicherweise als Personen mit <\/span><span style=\"font-weight: 300;\">Oberlippenheber<\/span><span style=\"font-weight: 300;\">.<\/span><\/p><p><span style=\"font-weight: 300;\">Diese falschen Bezeichnungen f\u00fchren dazu, dass ein Tracker, der darauf trainiert ist, Gesichter mit bestimmten Strukturen zu erkennen, als Ausdruck von <\/span><span style=\"font-weight: 300;\">Oberlippenheber<\/span><span style=\"font-weight: 300;\"> - auch wenn sie neutral sind oder l\u00e4cheln.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><p><span style=\"font-weight: 300;\">Die Beschaffung eines \"vielf\u00e4ltigen Datensatzes\" ist irrelevant, wenn Ihre Kennzeichnungen ungenau sind.<\/span><\/p><p><span style=\"font-weight: 300;\">Eine solche Ausbildung erkl\u00e4rt die Ergebnisse von Lauren Rhue aus<\/span> <b>Die versteckte Voreingenommenheit von KI, die Emotionen erkennt, verstehen<\/b><span style=\"font-weight: 300;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2351a7 elementor-widget elementor-widget-image\" data-id=\"b2351a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8319\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: Ganzheitliche Emotionskennzeichnung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-holistic-emotion-labeling..png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ab8979 elementor-widget elementor-widget-text-editor\" data-id=\"1ab8979\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Das Vorhandensein voreingenommener Emotionskennzeichnungen bleibt auch dann bestehen, wenn man von einem FACS-basierten Ansatz abweicht und versucht, die Kennzeichner Emotionen ganzheitlich klassifizieren zu lassen.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56fa2de elementor-widget elementor-widget-image\" data-id=\"56fa2de\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8321\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-east-asian-western.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95f5002 elementor-widget elementor-widget-text-editor\" data-id=\"95f5002\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 500;\">Falls es nicht klar ist, warum ganzheitliche Emotionskennzeichnung genauso wahrscheinlich scheitert (wenn nicht sogar noch mehr) - <\/span><b>HIER IST EINE AUFFRISCHUNG<\/b><b>:<\/b><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Menschen nehmen beim Betrachten von Gesichtern unterschiedliche Informationen auf und suchen bei der Interpretation von Emotionen nach unterschiedlichen Anhaltspunkten.\u00a0<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Die Kultur hat gro\u00dfen Einfluss darauf, was wir als wertvolle Informationen und Hinweise betrachten.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><\/ul><p><span style=\"font-weight: 300;\">Studien haben ergeben:<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"2\"><b>ostasiatisch<\/b><span style=\"font-weight: 300;\"> Die Teilnehmer konzentrieren sich eher auf die Mitte des Gesichts, um die Nase herum, und messen den Augen und der Blickrichtung mehr Bedeutung bei.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><b>Westkaukasisch <\/b><span style=\"font-weight: 300;\">die Teilnehmer neigen dazu, den Ausdruck von Emotionen in den Augenbrauen und der Mundpartie zu suchen<\/span><\/li><li style=\"font-weight: 500;\" aria-level=\"2\"><span style=\"font-weight: 500;\">Diese Unterschiede in der Aufmerksamkeit f\u00fchren zu Verzerrungen, wenn die Teilnehmer Gesichter mit widerspr\u00fcchlichen Ausdr\u00fccken betrachten<br \/><\/span><span style=\"font-weight: 300;\">z.B. Wenn es traurige Augen mit einem gl\u00fccklichen Mund gibt:<br \/><\/span><span style=\"font-weight: 300;\">- Japanische Teilnehmer legen mehr Wert auf Emotionen in den Augen<br \/><\/span><span style=\"font-weight: 300;\">- Die amerikanischen Teilnehmer achten mehr auf den Mundbereich.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-360d312 elementor-widget elementor-widget-image\" data-id=\"360d312\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8323\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-FACS-anarchy.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d540e16 elementor-widget elementor-widget-text-editor\" data-id=\"d540e16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: Was passiert, wenn man FACS nicht richtig einsetzt?<\/span><\/span><\/p><ul><li style=\"list-style-type: none;\"><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">falsche Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">inkonsistente Klassifizierung des Ausdrucks<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">voreingenommene Etikettierung (rassisch, kulturell, altersbedingt usw.)<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"text-decoration: underline;\"><span style=\"font-weight: 300;\">Anarchie<\/span><\/span><ul><li style=\"list-style-type: none;\">\u00a0<\/li><\/ul><\/li><\/ul><\/li><\/ul><p><span style=\"font-weight: 300;\">Selbst bei ordnungsgem\u00e4\u00dfer Anwendung von FACS wird es immer Verzerrungen und Unstimmigkeiten geben - durch sorgf\u00e4ltige Ma\u00dfnahmen lassen sich diese Probleme jedoch erheblich verringern.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89156e7 elementor-widget elementor-widget-image\" data-id=\"89156e7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8327\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Bias abmildern\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-mitigating-bias.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7d9da2f elementor-widget elementor-widget-text-editor\" data-id=\"7d9da2f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <strong>Anarchie<\/strong><br \/><\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Wenn . . .\u00a0<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">die Kultur beeinflusst, wie wir Ausdr\u00fccke und Gef\u00fchle interpretieren<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">die Umweltbedingungen beeinflussen, welche Anhaltspunkte wir zur Beurteilung von Gesichtern heranziehen<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">das Wissen \u00fcber Gesichtsaktionen beeinflusst, wie wir Ausdr\u00fccke benennen<\/span><\/li><\/ul><p><span style=\"font-weight: 300;\">. . . Was k\u00f6nnen Technologieunternehmen tun, um diese von Menschen verursachten Fehler zu verringern und zu verhindern, dass sie nach au\u00dfen dringen?\u00a0<\/span><span style=\"font-weight: 300;\">in Algorithmen?<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52e5215 elementor-widget elementor-widget-image\" data-id=\"52e5215\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8330\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Bias abmildern\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-reducing-bias.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78f36ff elementor-widget elementor-widget-text-editor\" data-id=\"78f36ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 300;\">Was k\u00f6nnen Technologieunternehmen tun, um Verzerrungen bei der Gesichtserkennung zu verringern?<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><ul><li style=\"font-weight: 500;\" aria-level=\"1\"><span style=\"font-weight: 500;\">Technologieunternehmen m\u00fcssen erkennen, dass <\/span><span style=\"font-weight: 500;\">Die Gesichtsverfolgung hat den Rahmen der technischen M\u00f6glichkeiten gesprengt.<\/span><\/li><li style=\"font-weight: 500;\" aria-level=\"1\"><span style=\"font-weight: 500;\">Technologieunternehmen m\u00fcssen <\/span><span style=\"font-weight: 500;\">die Anf\u00e4lligkeit der Technik f\u00fcr Voreingenommenheit akzeptieren und die Mitarbeiter \u00fcber diese Anf\u00e4lligkeit aufkl\u00e4ren.<\/span><\/li><li style=\"font-weight: 500;\" aria-level=\"1\"><span style=\"font-weight: 500;\">Technologieunternehmen m\u00fcssen <\/span><span style=\"font-weight: 500;\">mehr in die Datenqualit\u00e4t investieren.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc64a58 elementor-widget elementor-widget-image\" data-id=\"bc64a58\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8331\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Bias abmildern\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-cover-investing-in-labelers.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfaaff2 elementor-widget elementor-widget-text-editor\" data-id=\"cfaaff2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Die Fortschritte der Gesichtserkennungstechnologie zu erkennen, ihre Schwachstellen zu verstehen und mehr in die Datenqualit\u00e4t zu investieren bedeutet . . .\u00a0<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Eigentlich <\/span><span style=\"font-weight: 300;\">Zuweisung des Personalbestands<\/span><span style=\"font-weight: 300;\"> in Richtung von Funktionen, die sich auf die Datenqualit\u00e4t konzentrieren - selbst wenn dies eine Verringerung des Personalbestands im technischen Bereich erfordert.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Zeit und Energie aufwenden, <\/span><span style=\"font-weight: 300;\">und<\/span><span style=\"font-weight: 300;\"> Ressourcen<\/span><span style=\"font-weight: 300;\"> an <\/span><span style=\"font-weight: 300;\">Datenspezialisten finden. <\/span><span style=\"font-weight: 300;\">Wenn dies nicht m\u00f6glich ist, ist es immer noch Aufgabe des Unternehmens, Zeit, Energie und Ressourcen in die AUSBILDUNG von Datenspezialisten zu investieren. <\/span><b>Die Klassifizierung von Gesichtsausdr\u00fccken ist viel komplizierter als die Klassifizierung von einfachen Objekten wie Verkehrszeichen und sollte auch als solche behandelt werden.<\/b><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c81476 elementor-widget elementor-widget-image\" data-id=\"0c81476\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8333\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Erfassung von Gesichtern und Emotionen: Verringerung von Verzerrungen bei der Erfassung von Gesichtern\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-reducing-biases-in-face-tracking.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e8d0b8 elementor-widget elementor-widget-text-editor\" data-id=\"8e8d0b8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 500;\">Die Fortschritte der Gesichtserkennungstechnologie zu erkennen, ihre Schwachstellen zu verstehen und mehr in die Datenqualit\u00e4t zu investieren bedeutet . . .\u00a0<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><ul><li><span style=\"font-weight: 300;\">Technik, Forschung und Produkt sollten den Daten nicht einfach sagen, was sie brauchen - sondern ZUH\u00d6REN <\/span><span style=\"font-weight: 300;\">auf das, was die Datenteams brauchen. Die Datenteams kennen sich am besten mit der Arbeit hinter den Kulissen aus, die f\u00fcr funktionierende Algorithmen erforderlich ist. <\/span><b>AN DIESER STELLE SCHEITERN VIELE UNTERNEHMEN.<\/b><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Mitarbeiter mit datenbasierten Aufgaben m\u00fcssen regelm\u00e4\u00dfig mit Technik-, Forschungs- und Produktteams zusammenarbeiten.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5f5260 elementor-widget elementor-widget-image\" data-id=\"d5f5260\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8335\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: richtiges Training\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-proper-training.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-857bf73 elementor-widget elementor-widget-text-editor\" data-id=\"857bf73\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 500;\">Die Fortschritte der Gesichtserkennungstechnologie zu erkennen, ihre Schwachstellen zu verstehen und mehr in die Datenqualit\u00e4t zu investieren bedeutet . . .\u00a0<\/span><\/p><ul><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Aufkl\u00e4rung der Mitarbeiter \u00fcber die Realit\u00e4t der Voreingenommenheit im technischen Bereich.<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Die richtigen Vorkehrungen treffen, um <\/span><span style=\"font-weight: 300;\">die Kennzeichnung zu standardisieren und zu definieren.<\/span><\/li><li style=\"font-weight: 300;\" aria-level=\"1\"><span style=\"font-weight: 300;\">Immer <\/span><span style=\"font-weight: 300;\">\u00dcberlegungen, wann und wo Befangenheit auftreten kann.<br \/><\/span><span style=\"font-weight: 300;\">- Wer kennzeichnet?<br \/><\/span><span style=\"font-weight: 300;\">- Was beschriften sie?<br \/><\/span><span style=\"font-weight: 300;\">- Welche Faktoren k\u00f6nnten ihre Kennzeichnung beeinflussen?<br \/>* <\/span><span style=\"font-weight: 300;\"><strong>Stimmung <\/strong>* <\/span><span style=\"font-weight: 300;\"><strong>Kultur<\/strong> * <\/span><strong>erleben<\/strong><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97bcf25 elementor-widget elementor-widget-image\" data-id=\"97bcf25\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8337\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Verfolgung von Gesichtern und Emotionen: statische Bilder\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-static-images.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7df231 elementor-widget elementor-widget-text-editor\" data-id=\"e7df231\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 500;\">Die Fortschritte der Gesichtserkennungstechnologie zu erkennen, ihre Schwachstellen zu verstehen und mehr in die Datenqualit\u00e4t zu investieren bedeutet . . .\u00a0<\/span><\/p><p><b>SIDENOTE:<\/b> <span style=\"font-weight: 300;\">DIE BESCHRIFTUNG VON AUSDR\u00dcCKEN AUS STATISCHEN BILDERN ZU BEENDEN.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/p><ul><li><span style=\"font-weight: 300;\">Genaue FACS- und Emotionskennzeichnungen sind weitgehend davon abh\u00e4ngig, dass man Bewegungen sieht.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><\/li><li><span style=\"font-weight: 300;\">Wenn die Bewegung st\u00e4rker betont w\u00fcrde, w\u00fcrden statische Gesichtsmerkmale wie h\u00e4ngende Lippenwinkel und geschwungene Nasolabialfurche weniger wahrscheinlich die Erkennung von <\/span><span style=\"font-weight: 300;\">Lippen-Ecken-Dr\u00fccker<\/span><span style=\"font-weight: 300;\"> und <\/span><span style=\"font-weight: 300;\">Oberlippenheber <\/span><span style=\"font-weight: 300;\">(bzw.).<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed512e7 elementor-widget elementor-widget-image\" data-id=\"ed512e7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8339\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Abschlie\u00dfende Anmerkungen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-closing.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69ade8a elementor-widget elementor-widget-text-editor\" data-id=\"69ade8a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 300;\">Schlussbemerkungen . . .\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1991a67 elementor-widget elementor-widget-image\" data-id=\"1991a67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8340\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: Auswirkungen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-ramifications.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5df366e elementor-widget elementor-widget-text-editor\" data-id=\"5df366e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 300;\">Je mehr wir an die Technologie glauben und uns auf sie verlassen, desto besser,\u00a0<\/span><span style=\"font-weight: 300;\">desto mehr Auswirkungen werden diese Vorurteile haben.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-955dbf4 elementor-widget elementor-widget-image\" data-id=\"955dbf4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8343\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen bei der Gesichts- und Emotionserkennung: KI-Implikationen\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-AI.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3a568a elementor-widget elementor-widget-text-editor\" data-id=\"b3a568a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 300;\">\"... Gesichtserkennungssoftware interpretiert Emotionen je nach Rasse der Person unterschiedlich.  ... Dieses Ergebnis hat Auswirkungen auf Einzelpersonen, Organisationen und die Gesellschaft und tr\u00e4gt zur wachsenden Literatur \u00fcber Voreingenommenheit und\/oder ungleiche Auswirkungen in der KI bei.\"<\/span><\/p><p><span style=\"font-weight: 300;\">Rhue, Lauren, <\/span><b>Rassenbedingter Einfluss auf automatisierte Wahrnehmungen von Emotionen\u00a0<\/b><span style=\"font-weight: 300;\">(9. November 2018).\u00a0<\/span><span style=\"font-weight: 300;\">Verf\u00fcgbar bei SSRN: <\/span><span style=\"font-weight: 300;\"><a href=\"https:\/\/ssrn.com\/abstract=3281765\" rel=\"nofollow\">https:\/\/ssrn.com\/abstract=3281765<\/a> oder <a href=\"http:\/\/dx.doi.org\/10.2139\/ssrn.3281765\" rel=\"nofollow\">http:\/\/dx.doi.org\/10.2139\/ssrn.3281765<\/a><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a8268e elementor-widget elementor-widget-image\" data-id=\"7a8268e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8344\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: Daten Verantwortung\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-tracking-responsibility.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0bee76 elementor-widget elementor-widget-text-editor\" data-id=\"d0bee76\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>: <\/span><\/span><span style=\"font-weight: 500;\">Reduzierung von Verzerrungen bei der Gesichtserkennung<\/span><\/p><p><span style=\"font-weight: 300;\">\u00dcbernehmen Sie Verantwortung.<\/span><span style=\"font-weight: 300;\"><br \/><\/span><span style=\"font-weight: 300;\">Machen Sie sich die M\u00fche, Vorurteile abzubauen.<br \/><\/span><span style=\"font-weight: 300;\">Mehr in Daten investieren.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-009a084 elementor-widget elementor-widget-image\" data-id=\"009a084\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?fit=900%2C506&amp;ssl=1\" class=\"attachment-large size-large wp-image-8346\" alt=\"Rassen-, kultur- und altersbedingte Verzerrungen beim Verfolgen von Gesichtern und Emotionen: FACS-Spickzettel\" srcset=\"https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?w=960&amp;ssl=1 960w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?resize=18%2C10&amp;ssl=1 18w, https:\/\/i0.wp.com\/melindaozel.com\/wp-content\/uploads\/2020\/10\/racial-cultural-age-related-bias-in-face-and-emotion-facs-cheat-sheet.png?resize=889%2C500&amp;ssl=1 889w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b0ffd1 elementor-widget elementor-widget-text-editor\" data-id=\"1b0ffd1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 300;\"><span style=\"font-weight: 500;\"><span style=\"text-decoration: underline;\">Text<\/span>:<\/span><\/span><\/p><p><span style=\"font-weight: 300;\">Als Reaktion auf die weit verbreiteten minderwertigen und ungenauen FACS-Referenzen, <\/span><span style=\"font-weight: 300;\">Ich habe einen kostenlosen \"FACS-Spickzettel\" erstellt. <\/span><span style=\"font-weight: 300;\">die als Leitfaden f\u00fcr K\u00fcnstler, Forscher und Ingenieure dienen soll. Sie ist auf meiner FACS-Ressourcen-Website verf\u00fcgbar, <\/span><b><i>Sich der FACS stellen<\/i><\/b><span style=\"font-weight: 300;\">. Ich bin auch offen f\u00fcr Beratung.<\/span><\/p><p><a href=\"https:\/\/melindaozel.com\/facs-cheat-sheet\/\" target=\"_blank\" rel=\"noopener\"><b>melindaozel.com\/facs-cheat-sheet\/<\/b><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Wir scheinen uns der beliebten \u00dcbervereinfachung anzuschlie\u00dfen, dass Maschinen weniger voreingenommen sind als Menschen. Wenn Sie jedoch mit der Art und Weise vertraut sind, in der Maschinen darauf trainiert werden, verschiedene Aspekte von Daten zu lesen und sich darauf zu konzentrieren, wissen Sie das: So einfach ist es eben nicht.<\/p>","protected":false},"author":60486633,"featured_media":3610,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[676756913,676756994,676757020,676757042,676757021,676757036,676757039,676756997,676757037,676756991,676756915,676756914,676757008,676757022,676757023,676757038,676757024,676756993,676757043,676756992],"tags":[],"class_list":["post-3601","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-action-units","category-ar-vr","category-au1","category-au10","category-au2","category-au6","category-au7","category-behavior","category-cheek-raiser","category-anatomy","category-facial-expressions","category-muscles","category-free","category-frontalis","category-inner-brow-raiser","category-lid-tightener","category-outer-brow-raiser","category-tech","category-upper-lip-raiser","category-wrinkles","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.1 (Yoast SEO v27.1.1) - 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