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{"id":15689,"date":"2021-07-29T17:22:06","date_gmt":"2021-07-29T21:22:06","guid":{"rendered":"https:\/\/intosai.nclud.com\/journal-entry\/gao-groundbreaking-framework-for-ai-accountability\/"},"modified":"2023-05-07T23:50:12","modified_gmt":"2023-05-08T03:50:12","slug":"gao-groundbreaking-framework-for-ai-accountability","status":"publish","type":"journal-entry","link":"https:\/\/intosai.nclud.com\/fr\/journal-entry\/gao-groundbreaking-framework-for-ai-accountability\/","title":{"rendered":"Le GAO publie un cadre novateur pour la responsabilisation en mati\u00e8re d&#8217;IA"},"content":{"rendered":"\n<p>L&#8217;intelligence artificielle (IA) a d\u00e9j\u00e0 un impact profond sur le gouvernement et la soci\u00e9t\u00e9. Alors que l&#8217;IA devient de plus en plus omnipr\u00e9sente dans nos vies, on nous demandera souvent de faire confiance aux syst\u00e8mes d&#8217;IA simplement pour leurs avantages s\u00e9duisants.<\/p>\n\n\n\n<p>Mais comment savoir si l&#8217;IA fait son travail correctement ?<\/p>\n\n\n\n<p>L&#8217;\u00e9volution rapide de l&#8217;IA rend n\u00e9cessaire la mise en place d&#8217;un cadre permettant de v\u00e9rifier de mani\u00e8re ind\u00e9pendante les syst\u00e8mes d&#8217;IA (m\u00eame si la technologie continue de progresser). La communaut\u00e9 mondiale de la responsabilit\u00e9 a besoin d&#8217;une bo\u00eete \u00e0 outils pour \u00e9valuer cette technologie en constante \u00e9volution et, plus important encore, les organisations qui construisent, ach\u00e8tent et d\u00e9ploient l&#8217;IA ont besoin d&#8217;un cadre pour comprendre comment les syst\u00e8mes d&#8217;IA seront \u00e9valu\u00e9s.<\/p>\n\n\n\n<p>Le Government Accountability Office (GAO) des \u00c9tats-Unis, reconnaissant le besoin urgent d&#8217;une gouvernance de l&#8217;IA, a r\u00e9cemment publi\u00e9 un cadre de responsabilit\u00e9 en mati\u00e8re d&#8217;IA con\u00e7u pour aider \u00e0 garantir la responsabilit\u00e9 et l&#8217;utilisation responsable de l&#8217;IA dans les programmes et processus gouvernementaux.<\/p>\n\n\n\n<p>&#8220;Intelligence artificielle : Un cadre de responsabilit\u00e9 pour les agences f\u00e9d\u00e9rales et autres entit\u00e9s&#8221; est un cadre unique, premier du genre, qui<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>constitue un plan pratique et r\u00e9alisable pour l&#8217;\u00e9valuation et l&#8217;audit des syst\u00e8mes d&#8217;IA ;<\/li>\n\n\n\n<li>est suffisamment souple pour s&#8217;adapter \u00e0 l&#8217;\u00e9volution des technologies ;<\/li>\n\n\n\n<li>permet aux non-sp\u00e9cialistes de poser les bonnes questions sur les syst\u00e8mes d&#8217;IA ; et<\/li>\n\n\n\n<li>\u00e9tablit un crit\u00e8re de r\u00e9f\u00e9rence pour \u00e9valuer la s\u00e9curit\u00e9, l&#8217;\u00e9quit\u00e9 et l&#8217;efficacit\u00e9 des syst\u00e8mes d&#8217;intelligence artificielle d\u00e9ploy\u00e9s par les pouvoirs publics<strong>\n  <em>.<\/em>\n<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\u00c9labor\u00e9 selon une approche v\u00e9ritablement collaborative &#8211; r\u00e9unissant des experts du gouvernement f\u00e9d\u00e9ral, de l&#8217;industrie et des secteurs \u00e0 but non lucratif &#8211; le cadre s&#8217;articule autour de quatre principes compl\u00e9mentaires portant sur (1) la gouvernance, (2) les donn\u00e9es, (3) la performance et (4) le suivi, chacun d&#8217;entre eux int\u00e9grant des pratiques cl\u00e9s et concr\u00e8tes, notamment les questions \u00e0 poser, les proc\u00e9dures d&#8217;audit et les types d&#8217;\u00e9l\u00e9ments probants \u00e0 recueillir.<\/p>\n\n\n\n<p>Le cadre reconna\u00eet et couvre l&#8217;ensemble du cycle de vie des syst\u00e8mes d&#8217;IA (conception-d\u00e9veloppement-d\u00e9ploiement-contr\u00f4le). Voici quelques exemples de questions relatives au cycle de vie que le cadre aborde, en plus de domaines tels que la repr\u00e9sentativit\u00e9, la partialit\u00e9 et la s\u00e9curit\u00e9 des donn\u00e9es<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u00e9valuer l&#8217;expansion ou la croissance du syst\u00e8me d&#8217;IA ;<\/li>\n\n\n\n<li>le portage de syst\u00e8mes d&#8217;IA d&#8217;un espace d&#8217;application \u00e0 un autre ;<\/li>\n\n\n\n<li>l&#8217;\u00e9tablissement de proc\u00e9dures de surveillance humaine ;<\/li>\n\n\n\n<li>la d\u00e9tection de la d\u00e9rive du mod\u00e8le ; et<\/li>\n\n\n\n<li>l&#8217;\u00e9tablissement d&#8217;indicateurs de performance.<\/li>\n<\/ul>\n\n\n\n<p>Ce produit est la premi\u00e8re d&#8217;une longue s\u00e9rie d&#8217;\u00e9tapes sur la voie de la responsabilisation en mati\u00e8re d&#8217;IA. Alors que le GAO f\u00eate cette ann\u00e9e ses 100 ans de service au public, ce cadre de contr\u00f4le solide pour les syst\u00e8mes d&#8217;IA d&#8217;aujourd&#8217;hui et de demain garantit que le GAO est pr\u00eat pour les 100 prochaines ann\u00e9es.<\/p>\n\n\n\n<p>Le rapport complet est disponible <a href=\"https:\/\/www.gao.gov\/assets\/gao-21-519sp.pdf\" target=\"_blank\" rel=\"noopener\">ici<\/a>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Pour plus d&#8217;informations sur le cadre de responsabilisation en mati\u00e8re d&#8217;IA, veuillez contacter :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Taka Ariga, Chief Data Scientist et directeur de la science, de l&#8217;\u00e9valuation des technologies et de l&#8217;analyse, <a href=\"mailto:arigat@gao.gov\">arigat@gao.gov<\/a><\/li>\n\n\n\n<li>Timothy M. Persons, PhD, Chief Scientist et Managing Director, Science, Technology Assessment, and Analytics, <a href=\"mailto:personst@gao.gov\">personst@gao.gov<\/a><\/li>\n\n\n\n<li>Stephen Sanford, directeur g\u00e9n\u00e9ral de la planification strat\u00e9gique et de la liaison externe, et directeur du GAO Center for Strategic Foresight, <a href=\"mailto:sanfords@gao.gov\">sanfords@gao.gov<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>L&#8217;\u00e9volution rapide de l&#8217;IA rend n\u00e9cessaire la mise en place d&#8217;un cadre permettant de v\u00e9rifier de mani\u00e8re ind\u00e9pendante les syst\u00e8mes d&#8217;IA (m\u00eame si la technologie continue de progresser). La communaut\u00e9 mondiale de la responsabilit\u00e9 a besoin d&#8217;une bo\u00eete \u00e0 outils pour \u00e9valuer cette technologie en constante \u00e9volution et, plus important encore, les organisations qui construisent, ach\u00e8tent et d\u00e9ploient l&#8217;IA ont besoin d&#8217;un cadre pour comprendre comment les syst\u00e8mes d&#8217;IA seront \u00e9valu\u00e9s. Le Government Accountability Office (GAO) des \u00c9tats-Unis, reconnaissant le besoin urgent d&#8217;une gouvernance de l&#8217;IA&#8230;<\/p>\n","protected":false},"author":90,"featured_media":7475,"template":"","meta":{"_acf_changed":false,"footnotes":""},"journal-categories":[2111,2068],"content-tags":[1880],"country":[2790],"region":[],"section":[2642],"coauthors":[],"class_list":["post-15689","journal-entry","type-journal-entry","status-publish","has-post-thumbnail","hentry","journal-categories-ete-2021","journal-categories-nouvelles-en-bref","content-tags-intelligence-artificielle","country-usa-fr","section-news-in-brief-fr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Le GAO publie un cadre novateur pour la responsabilisation en mati\u00e8re d&#039;IA - INTOSAI Journal<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Le GAO publie un cadre novateur pour la responsabilisation en mati\u00e8re d&#039;IA - INTOSAI Journal\" \/>\n<meta property=\"og:description\" content=\"L&#039;\u00e9volution rapide de l&#039;IA rend n\u00e9cessaire la mise en place d&#039;un cadre permettant de v\u00e9rifier de mani\u00e8re ind\u00e9pendante les syst\u00e8mes d&#039;IA (m\u00eame si la technologie continue de progresser). 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