The WEF’s 2023 briefing on data equity and generative AI stresses that fairness, accountability, and inclusivity must guide the development of foundation models. GenAI’s reliance on vast, often biased datasets risks reinforcing inequities across societies. The report outlines four dimensions of equity—representation, feature, access, and outcome—applied across the AI lifecycle from input data to outputs. Challenges include opaque algorithms, cultural bias, lack of consent, and risks of “model collapse.” To address these, stakeholders—AI developers, users, policymakers, civil society, and communities—must collaborate on transparency, inclusive governance, equitable data access, and benefit-sharing.

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