Feminist Principles for an Inclusive and Transformative Artificial Intelligence

Background: The widespread use of artificial intelligence (AI) for different applications is raising expectations as well as concerns about the risks it involves. This paper explores the application of feminist principles to foster inclusive and transformative AI in Canada.Analysis: We analyze six of Canada's AI policies through the lens of six feminist guiding principles: 1) positive and transformative purpose; 2) diversity and representation; 3) accessibility, fairness, and inclusion; 4) contextual awareness; 5) transparency, explainability, and accountability; and (6) environmental sustainability.Conclusion and implications: While Canada's AI policies show promise, our feminist analysis highlights gaps in addressing diverse representations in the industry, bridging digital divides, ensuring contextual awareness, and enforcing transparency, explainability, and accountability. Contexte : L'adoption r & eacute;pandue de l'intelligence artificielle (IA) pour diff & eacute;rentes applications suscite des attentes ainsi que des pr & eacute;occupations concernant les risques qu'elle implique. Cet article explore le recours & agrave; des principes f & eacute;ministes pour favoriser une IA inclusive et transformative au Canada.Analyse : Nous analysons six politiques d'IA au Canada en nous fondant sur six principes f & eacute;ministes de base : (i) objectif positif et transformateur; (ii) diversit & eacute; et repr & eacute;sentation; (iii) accessibilit & eacute;, & eacute;quit & eacute; et inclusion; (iv) conscience du contexte; (v) transparence, explicabilit & eacute; et responsabilit & eacute;; (vi) durabilit & eacute; de l'environnement.Conclusion et implications : Bien que les politiques d'IA au Canada soient prometteuses, notre analyse f & eacute;ministe r & eacute;v & egrave;le des lacunes li & eacute;es & agrave; la repr & eacute;sentation diversifi & eacute;e dans l'industrie, aux fractures num & eacute;riques, & agrave; la conscience du contexte, et & agrave; l'application de la transparence, de l'explicabilit & eacute; et de la responsabilit & eacute;.