Le biais algorithmique, terme qui d\u00e9signe les inexactitudes constantes et r\u00e9p\u00e9tables d'un syst\u00e8me num\u00e9rique conduisant \u00e0 des r\u00e9sultats injustes, favorise souvent un groupe d\u00e9mographique au d\u00e9triment d'autres. Ces biais peuvent s'infiltrer \u00e0 diff\u00e9rents moments, notamment lors de la collecte de donn\u00e9es, du codage ou de la prise de d\u00e9cisions en mati\u00e8re de conception. Ils peuvent refl\u00e9ter des pr\u00e9jug\u00e9s sociaux et institutionnels existants ou se d\u00e9velopper de mani\u00e8re unique dans les environnements num\u00e9riques. Les biais observ\u00e9s dans les r\u00e9sultats des moteurs de recherche, les algorithmes des m\u00e9dias sociaux et les syst\u00e8mes d'apprentissage automatique en sont des exemples flagrants. Les biais algorithmiques peuvent \u00e9galement appara\u00eetre sous des formes plus sp\u00e9cifiques, comme les biais li\u00e9s au genre, \u00e0 la politique ou \u00e0 la technique. En outre, ils influencent consid\u00e9rablement divers secteurs, y compris le monde des affaires, les syst\u00e8mes judiciaires et les plateformes en ligne, entra\u00eenant des actions discriminatoires et des violations des droits.<\/p>","protected":false},"excerpt":{"rendered":"
Algorithmic bias, a term denoting the consistent and repeatable inaccuracies in a digital system leading to unjust results, often favors one demographic at the expense of others. Such bias can infiltrate at different points, such as during data gathering, coding, or while making design decisions. It can reflect existing social and institutional biases, or it […]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-4788","glossary","type-glossary","status-publish","hentry"],"post_title":"Algorithmic bias","post_content":"Algorithmic bias, a term denoting the consistent and repeatable inaccuracies in a digital system leading to unjust results, often favors one demographic at the expense of others. Such bias can infiltrate at different points, such as during data gathering, coding, or while making design decisions. It can reflect existing social and institutional biases, or it can uniquely develop within digital environments. Prominent instances are seen in biases within search engine outputs, social media algorithms, and machine learning systems. Algorithmic bias can also appear in more specific forms, like gender, political, or technical biases. Moreover, it considerably influences various sectors, including business realms, judicial systems, and online platforms, resulting in discriminatory actions and rights infringements.","_links":{"self":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary\/4788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/types\/glossary"}],"author":[{"embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/users\/4"}],"version-history":[{"count":0,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary\/4788\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/media?parent=4788"}],"wp:term":[{"taxonomy":"glossary-categories","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-categories?post=4788"},{"taxonomy":"glossary-tags","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-tags?post=4788"},{"taxonomy":"glossary-languages","embeddable":true,"href":"https:\/\/blog.sociamonials.com\/fr\/wp-json\/wp\/v2\/glossary-languages?post=4788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}