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Fair for groups, unfair for individuals: Closing the gap in AI fairness.
Fairness for recommender system users can be evaluated for groups (e.g., based on users' demographic attributes) and for individuals (e.g., without considering their demographic attributes).

WAI CONTENT TEAM
Sep 32 min read


An Actionable and Transparent AI Governance Framework
This article is written by Anar Simpson. Anar is a computer scientist and Founder at Orchestrate.Agency, where she leads the development of localized Constitutional AI frameworks for those seeking to align machine speed with human values. As a former Deputy for the UN High-Level Panel on Women's Economic Empowerment and through leadership roles with Technovation, Mozilla, and the U.S. State Department's TechWomen program, her work in digital agency has reached over 100 count

WAI CONTENT TEAM
Mar 155 min read
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