{"id":3544,"date":"2022-10-17T10:54:58","date_gmt":"2022-10-17T08:54:58","guid":{"rendered":"https:\/\/atomic-temporary-207885880.wpcomstaging.com\/?p=3544"},"modified":"2022-10-17T10:54:58","modified_gmt":"2022-10-17T08:54:58","slug":"outils-dia","status":"publish","type":"post","link":"https:\/\/hornet-conseil.fr\/index.php\/2022\/10\/17\/outils-dia\/","title":{"rendered":"Les outils d’IA : contre-productif pour r\u00e9duire les pr\u00e9jug\u00e9s"},"content":{"rendered":"
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On pourrait croire que les outils d’IA sont la solution pour r\u00e9duire les pr\u00e9jug\u00e9s.<\/strong> Apr\u00e8s tout, ces outils sont cens\u00e9s \u00eatre objectifs et impartiaux. Cependant, en r\u00e9alit\u00e9, l’utilisation d’outils d’IA peut souvent exacerber les pr\u00e9jug\u00e9s existants. Cela est principalement d\u00fb au fait que les outils d’IA sont construits par des humains, et donc ils refl\u00e8tent les pr\u00e9jug\u00e9s de leurs cr\u00e9ateurs. En outre, ces outils sont souvent entra\u00een\u00e9s \u00e0 partir de donn\u00e9es historiques, ce qui signifie qu’ils vont reproduire les pr\u00e9jug\u00e9s pr\u00e9sents dans ces donn\u00e9es. Par cons\u00e9quent, il est important de prendre des mesures pour r\u00e9duire les pr\u00e9jug\u00e9s avant d’utiliser des outils d’IA, car sinon, on risque seulement de les exacerber.<\/p>\n

“Il y a un int\u00e9r\u00eat croissant pour de nouvelles fa\u00e7ons de r\u00e9soudre des probl\u00e8mes tels que les biais d’entretien”, d\u00e9clarent les chercheurs de l’Universit\u00e9 de Cambridge , dans la revue Philosophy and Technology.<\/p>\n

En 2020, selon cette enqu\u00eate internationale r\u00e9alis\u00e9e aupr\u00e8s de 500 professionnels des ressources humaines, pr\u00e8s d’un quart utilisaient l’IA pour “l’acquisition de talents, sous forme d’automatisation”.<\/p>\n<\/div>\n<\/div>\n

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“Utiliser l’IA pour r\u00e9duire les pr\u00e9jug\u00e9s est contre-productif” a d\u00e9clar\u00e9 le Dr Kerry Mackereth, chercheur postdoctoral. Elle rajoute <\/span>“Ces outils ne peuvent pas \u00eatre form\u00e9s pour identifier uniquement les caract\u00e9ristiques li\u00e9es \u00e0 l’emploi et \u00e9liminer le sexe et la race du processus d’embauche, car les types d’attributs que nous pensons essentiels pour \u00eatre un bon employ\u00e9 sont intrins\u00e8quement li\u00e9s au sexe et \u00e0 la race”<\/span><\/p>\n<\/div>\n<\/div>\n

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Certaines entreprises ont \u00e9galement trouv\u00e9 ces outils probl\u00e9matiques, note l’\u00e9tude. En 2018, par exemple, Amazon a annonc\u00e9 qu’il avait abandonn\u00e9 le d\u00e9veloppement d’un moteur de recrutement bas\u00e9 sur l’IA, car il pouvait d\u00e9tecter le sexe \u00e0 partir des CV et\u00a0<\/span>discriminait les candidates<\/a>.<\/span><\/p>\n<\/div>\n<\/div>\n

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Hayfa Mohdzaini, du Chartered Institute of Personnel and Development, a d\u00e9clar\u00e9 \u00e0 BBC News que ses recherches sugg\u00e9raient que seulement 8% des employeurs utilisaient l’IA pour s\u00e9lectionner les candidats. Elle d\u00e9clare \u00e9galement que “L’IA peut aider efficacement \u00e0 accro\u00eetre la diversit\u00e9 d’une organisation en filtrant \u00e0 partir d’un plus grand bassin de candidats – mais elle peut \u00e9galement passer \u00e0 c\u00f4t\u00e9 de nombreux bons candidats si les r\u00e8gles et les donn\u00e9es de formation sont incompl\u00e8tes ou inexactes”.<\/p>\n

Source : Les outils d’IA ne parviennent pas \u00e0 r\u00e9duire les biais de recrutement – \u00e9tude\/BBC<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

On pourrait croire que les outils d’IA sont la solution pour r\u00e9duire les pr\u00e9jug\u00e9s. Apr\u00e8s tout, ces outils sont cens\u00e9s \u00eatre objectifs et impartiaux. Cependant, en r\u00e9alit\u00e9, l’utilisation d’outils d’IA peut souvent exacerber les pr\u00e9jug\u00e9s existants. Cela est principalement d\u00fb au fait que les outils d’IA sont construits par des humains, et donc ils refl\u00e8tent […]<\/p>\n","protected":false},"author":1,"featured_media":3549,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-3544","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-revue-de-presse"],"yoast_head":"\nLes outils d'IA : contre-productif pour r\u00e9duire les pr\u00e9jug\u00e9s - HoRnet Conseil<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hornet-conseil.fr\/index.php\/2022\/10\/17\/outils-dia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Les outils d'IA : contre-productif pour r\u00e9duire les pr\u00e9jug\u00e9s - HoRnet Conseil\" \/>\n<meta property=\"og:description\" content=\"On pourrait croire que les outils d’IA sont la solution pour r\u00e9duire les pr\u00e9jug\u00e9s. Apr\u00e8s tout, ces outils sont cens\u00e9s \u00eatre objectifs et impartiaux. Cependant, en r\u00e9alit\u00e9, l’utilisation d’outils d’IA peut souvent exacerber les pr\u00e9jug\u00e9s existants. 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