{"id":2179,"date":"2026-01-19T14:46:53","date_gmt":"2026-01-19T17:46:53","guid":{"rendered":"https:\/\/www.gtlawyers.com.br\/?p=2179"},"modified":"2026-01-19T14:46:56","modified_gmt":"2026-01-19T17:46:56","slug":"governanca-de-ti-na-mitigacao-de-vieses-algoritmicos-praticas-eticas-para-garantir-a-transparencia-e-a-equidade-no-tratamento-de-dados-pessoais-pela-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/www.gtlawyers.com.br\/fr\/artigos\/governanca-de-ti-na-mitigacao-de-vieses-algoritmicos-praticas-eticas-para-garantir-a-transparencia-e-a-equidade-no-tratamento-de-dados-pessoais-pela-inteligencia-artificial\/","title":{"rendered":"GOUVERNANCE DES TECHNOLOGIES DE L\u2019INFORMATION DANS LES BIAIS ALGORITHMIQUES : PRATIQUES \u00c9THIQUES POUR GARANTIR LA TRANSPARENCE ET L\u2019\u00c9QUIT\u00c9 DANS LE TRAITEMENT DES DONN\u00c9ES PERSONNELLES PAR L\u2019INTELLIGENCE ARTIFICIELLE."},"content":{"rendered":"

R\u00e9sum\u00e9 : La gouvernance des technologies de l\u2019information (TI0 joue un r\u00f4le central dans la r\u00e9duction des biais algorithmiques en intelligence artificielle, en mettant en \u0153uvre des processus et des pratiques \u00e9thiques, auditables et transparents. Toutefois, le principal d\u00e9fi consiste \u00e0 \u00e9quilibrer l\u2019innovation technologique avec la protection des donn\u00e9es et les droits des personnes concern\u00e9es. Lorsqu\u2019elles sont mises en \u0153uvre de mani\u00e8re efficace, ces pratiques renforcent la conformit\u00e9 juridique et \u00e9thique, favorisent l\u2019\u00e9quit\u00e9 et la responsabilit\u00e9 sociale, sans compromettre la comp\u00e9titivit\u00e9 des entreprises.<\/p>\n\n\n\n

Mots-cl\u00e9s : Gouvernance des technologies de l\u2019Information, Intelligence Artificielle, Biais Algorithmiques.<\/p>\n\n\n\n

L\u2019utilisation croissante des algorithmes dans le traitement des donn\u00e9es personnelles par l\u2019intelligence artificielle (IA) est au c\u0153ur des d\u00e9bats mondiaux sur l\u2019\u00e9thique et les implications sociales. Bien qu\u2019ils offrent une efficacit\u00e9 significative, ces algorithmes reproduisent fr\u00e9quemment les pr\u00e9jug\u00e9s sociaux int\u00e9gr\u00e9s dans les donn\u00e9es d\u2019entra\u00eenement (c\u2019est-\u00e0-dire les infractions utilis\u00e9es pour leur d\u00e9veloppement), ce qui entra\u00eene une discrimination syst\u00e9mique. Dans le cadre de d\u00e9cisions automatis\u00e9es pour l\u2019octroi de cr\u00e9dits, par exemple, l\u2019IA peut favoriser des groupes d\u00e9j\u00e0 privil\u00e9gi\u00e9s, renfor\u00e7ant ainsi les in\u00e9galit\u00e9s pr\u00e9existantes.<\/p>\n\n\n\n

C\u2019est dans ce contexte que la gouvernance des technologies de l\u2019informatique (TI) joue un r\u00f4le fondamental pour att\u00e9nuer ces biais. Gr\u00e2ce \u00e0 l\u2019adoption de pratiques \u00e9thiques et de m\u00e9canismes robustes de supervision des op\u00e9rations d\u2019IA, il est possible de promouvoir une utilisation plus transparente, \u00e9quitable et responsable des algorithmes, tout en minimisant les risques et en prot\u00e9geant les droits des individus garantis par les l\u00e9gislations de diverses juridictions, et en favorisant des d\u00e9cisions automatis\u00e9es plus justes.<\/p>\n\n\n\n

Qu\u2019est-ce que les biais algorithmiques et quelles sont les implications \u00e9thiques associ\u00e9es ?<\/strong><\/p>\n\n\n\n

Les biais algorithmiques sont des distorsions dans les r\u00e9sultats des syst\u00e8mes d\u2019IA dues aux pr\u00e9jug\u00e9s pr\u00e9sents dans les donn\u00e9es utilis\u00e9es pour leur entra\u00eenement. En d\u2019autres termes, lorsque les donn\u00e9es historiques servant \u00e0 entra\u00eener un syst\u00e8me d\u2019IA sont biais\u00e9s \u00e0 l\u2019\u00e9gard d\u2019un certain groupe racial ou socio-\u00e9conomique particulier, l\u2019algorithme est susceptible de reproduire et d\u2019amplifier ce biais.<\/p>\n\n\n\n

Un exemple classique se trouve dans le processus de recrutement : lorsqu\u2019un algorithme est entra\u00een\u00e9 \u00e0 partir des donn\u00e9es favorisant des candidats correspondant \u00e0 un certain profil, il peut \u00e9carter des talents issus de groupes sous-repr\u00e9sent\u00e9s, perp\u00e9tuant ainsi la discrimination. \u00c1 cet \u00e9gard, une \u00e9tude men\u00e9e en 2022 sur le ChatGPT 3.5 a r\u00e9v\u00e9l\u00e9 que les noms associ\u00e9s \u00e0 des candidats noirs avaient moins de chances d\u2019\u00eatre s\u00e9lectionn\u00e9s comparativement aux noms de candidats blancs ou asiatiques, renfor\u00e7ant les in\u00e9galit\u00e9s sur le march\u00e9 du travail.<\/p>\n\n\n\n

Dans ce contexte, il est essentiel que les entreprises ne se contentent pas de collecter des donn\u00e9es plus larges et repr\u00e9sentatives, mais qu\u2019elles mettent \u00e9galement en place une gouvernance solide des TI afin de lutter contre les biais algorithmiques, comme cela sera analys\u00e9 ci-apr\u00e8s.<\/p>\n\n\n\n

La gouvernance des TI dans la lutte contre les biais algorithmiques et les difficult\u00e9s li\u00e9es \u00e0 sa mise en \u0153uvre.<\/strong><\/p>\n\n\n\n

La r\u00e9duction des biais algorithmiques peut-\u00eatre r\u00e9alis\u00e9e gr\u00e2ce \u00e0 la mise en place d\u2019une gouvernance solide des technologies de l\u2019information (TI), laquelle implique l\u2019adoption d\u2019un ensemble de processus, de politique, de proc\u00e9dures et de pratiques de gestion des risques, garantissant l\u2019utilisation \u00e9thique des donn\u00e9es et am\u00e9liorant la performance et la s\u00e9curit\u00e9 des op\u00e9rations technologiques.<\/p>\n\n\n\n

Cette mise en \u0153uvre peut passer par la cr\u00e9ation de comit\u00e9s d\u2019\u00e9thiques d\u00e9di\u00e9s \u00e0 l\u2019IA, la supervision humaine et le suivi continu des donn\u00e9es d\u2019entra\u00eenement, notamment par le moyen d\u2019audits r\u00e9guliers, ainsi que par le recrutement de professionnels des donn\u00e9es issus de divers horizons afin de promouvoir la diversit\u00e9.<\/p>\n\n\n\n

Cependant, rendre les syst\u00e8mes d\u2019IA explicables et auditables constitue une t\u00e2che complexe, en raison de nombreux d\u00e9fis techniques et op\u00e9rationnels. En premier lieu, cette complexit\u00e9 r\u00e9sulte de la m\u00eame nature m\u00eame des mod\u00e8les d\u2019IA, en particulier ceux bas\u00e9s sur l\u2019apprentissage profond (deep learning). En second lieu, l\u2019\u00e9laboration d\u2019une documentation compl\u00e8te et accessible du d\u00e9veloppement des algorithmes n\u00e9cessite des comp\u00e9tences techniques sp\u00e9cifiques, souvent absentes au sein des entreprises, ainsi que des ressources financi\u00e8res et temporelles suffisantes pour recruter des experts externes.<\/p>\n\n\n\n

Dans le m\u00eame ordre d\u2019id\u00e9es, la transparence dans la communication d\u2019informations aux parties prenantes peut-\u00eatre plus complexe lorsque l\u2019utilisation de donn\u00e9es personnelles est effectu\u00e9e par des entreprises d\u00e9tentrices de secrets commerciaux. La loi G\u00e9n\u00e9rale br\u00e9silienne sur la Protection des Donn\u00e9es (LGPD), tout comme le R\u00e8glement G\u00e9n\u00e9ral sur la Protection des Donn\u00e9es (RGPD) de l\u2019Union Europ\u00e9enne, par exemple, impose que le traitement des donn\u00e9es soit r\u00e9alis\u00e9 de mani\u00e8re transparente, afin que les personnes concern\u00e9es soient pleinement inform\u00e9es de l\u2019usage de leurs informations. Le respect de telles obligations l\u00e9gales pourrait, dans ce contexte, compromettre la protection de ces secrets commerciaux.<\/p>\n\n\n\n

Par ailleurs, l\u2019utilisation de l\u2019IA suscite des pr\u00e9occupations dans plusieurs pays. Dans l\u2019Union europ\u00e9enne, l\u2019AI Act est entr\u00e9 en vigueur cette ann\u00e9e, avec pour objectif principal d\u2019\u00e9tablir un cadre juridique pour le d\u00e9veloppement, la mise sur le march\u00e9, la mise en service et l\u2019utilisation des syst\u00e8mes d\u2019IA. L\u2019AI Act vise \u00e0 garantir simultan\u00e9ment la protection des droits fondamentaux et le soutien \u00e0 l\u2019innovation, en instaurant des exigences de conformit\u00e9 plus ou moins strictes selon le niveau et le risque li\u00e9 \u00e0 l\u2019usage de l\u2019IA, et en pr\u00e9voyant notamment l\u2019utilisation de donn\u00e9es repr\u00e9sentatives ainsi que la r\u00e9alisation d\u2019audits r\u00e9guliers afin d\u2019assurer la transparence.<\/p>\n\n\n\n

De m\u00eame, l\u2019Algorithmic Accountability Act fait actuellement l\u2019objet de d\u00e9bats au Congr\u00e8s des \u00c9tats-Unis et pr\u00e9voit que les entreprises utilisant l\u2019IA dans des secteurs \u00e0 haut risque soient tenues de r\u00e9aliser des audits r\u00e9guliers. Au Br\u00e9sil, le Projet de loi n\u00b0 2.338\/2023 est \u00e9galement en cours d\u2019examen, mettant l\u2019accent sur la s\u00e9curit\u00e9, la transparence et la protection des droits fondamentaux lors de l\u2019utilisation et du d\u00e9veloppement de l\u2019IA.<\/p>\n\n\n\n

Il convient de souligner que, malgr\u00e9 les d\u00e9fis consid\u00e9rables li\u00e9s \u00e0 la mise en \u0153uvre d\u2019une gouvernance des Technologies de l\u2019Information, cette mesure est essentielle indispensable pour garantir une utilisation s\u00e9curis\u00e9e des algorithmes et, surtout, pour \u00e9tablir un \u00e9quilibre entre innovation, responsabilit\u00e9 \u00e9thique et conformit\u00e9 aux l\u00e9gislations actuelles et futures en la mati\u00e8re.<\/p>\n\n\n\n

Conclusion<\/strong><\/p>\n\n\n\n

L\u2019utilisation des algorithmes dans le traitement des donn\u00e9es personnelles conna\u00eet une croissance constante, suscitant de nombreux d\u00e9bats sur les questions \u00e9thiques et les implications sociales, dans la mesure o\u00f9 ces algorithmes reproduisent les biais sociaux pr\u00e9sents dans les donn\u00e9es d\u2019entra\u00eenement.<\/p>\n\n\n\n

Dans ce contexte, la mise en place d\u2019une gouvernance robuste des Technologies de l\u2019Information est n\u00e9cessaire non seulement pour promouvoir un d\u00e9veloppement durable et inclusif, mais \u00e9galement pour prot\u00e9ger les droits des individus.<\/p>\n\n\n\n

Malgr\u00e9 l\u2019existence de d\u00e9fis consid\u00e9rables, des mesures telles que les audits, la promotion de la diversit\u00e9 au sein des \u00e9quipes et la cr\u00e9ation de comit\u00e9s d\u2019\u00e9thique permettent de garantir que les d\u00e9cisions automatis\u00e9es seront justes et conformes \u00e0 la LGPD, au RGPD, \u00e0 l\u2019AI Act ainsi qu\u2019aux futures r\u00e9glementations sur l\u2019IA au Br\u00e9sil et aux \u00c9tats-Unis, sans compromettre la comp\u00e9titivit\u00e9 des entreprises.<\/p>\n\n\n\n

Article initialement publi\u00e9 dans la revue Fronteiras Digitais \u2013 Perspectives Multidisciplinaires en Cybers\u00e9curit\u00e9, Vie Priv\u00e9e et Intelligence Artificielle, \u00e9dition 2025, une r\u00e9alisation de la Chambre de Commerce Br\u00e9sil-Canada (CCBC) et de l\u2019Association Nationale des Professionnels de la Protection des Donn\u00e9es (APDADOS), p. 44<\/em>.<\/p>\n\n\n\n

<\/p>\n\n\n\n

Camila Lisboa Martins<\/strong> – cmartins@gtlawyers.com.br<\/strong><\/a><\/p>\n\n\n\n

Jessica Ferreira<\/strong> – jferreira@gtlawyers.com.br<\/strong><\/a><\/p>","protected":false},"excerpt":{"rendered":"

Resumo: A Governan\u00e7a de TI possui papel central na mitiga\u00e7\u00e3o de vieses algor\u00edtmicos na IA, ao im\u00adplementar processos e pr\u00e1ticas que sejam \u00e9ticos, audit\u00e1veis e transparentes. Contudo, o grande desafio \u00e9 equilibrar a inova\u00e7\u00e3o tecnol\u00f3gica com a prote\u00e7\u00e3o de dados e os direitos dos titulares. Quando implementadas de forma eficaz, essas pr\u00e1ticas refor\u00e7am a conformidade […]<\/p>\n","protected":false},"author":8,"featured_media":2180,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6],"tags":[],"class_list":["post-2179","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artigos"],"acf":[],"yoast_head":"\nGOVERNAN\u00c7A DE TI NA MITIGA\u00c7\u00c3O DE VIESES ALGOR\u00cdTMICOS: PR\u00c1TICAS \u00c9TICAS PARA GARANTIR A TRANSPAR\u00caNCIA E A EQUIDADE NO TRATAMENTO DE DADOS PESSOAIS PELA INTELIG\u00caNCIA ARTIFICIAL | GTLawyers | Escrit\u00f3rio boutique full-service<\/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:\/\/www.gtlawyers.com.br\/fr\/artigos\/governanca-de-ti-na-mitigacao-de-vieses-algoritmicos-praticas-eticas-para-garantir-a-transparencia-e-a-equidade-no-tratamento-de-dados-pessoais-pela-inteligencia-artificial\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GOVERNAN\u00c7A DE TI NA MITIGA\u00c7\u00c3O DE VIESES ALGOR\u00cdTMICOS: PR\u00c1TICAS \u00c9TICAS PARA GARANTIR A TRANSPAR\u00caNCIA E A EQUIDADE NO TRATAMENTO DE DADOS PESSOAIS PELA INTELIG\u00caNCIA ARTIFICIAL | GTLawyers | Escrit\u00f3rio boutique full-service\" \/>\n<meta property=\"og:description\" content=\"Resumo: A Governan\u00e7a de TI possui papel central na mitiga\u00e7\u00e3o de vieses algor\u00edtmicos na IA, ao im\u00adplementar processos e pr\u00e1ticas que sejam \u00e9ticos, audit\u00e1veis e transparentes. 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