The McKinsey white paper advocates for human-centered AI to maximize benefits and minimize risks. It emphasizes interdisciplinary collaboration across technical, ethical, legal, and social domains to design inclusive, safe AI systems. Challenges like hallucinations, bias, and opaque models require robust testing, diverse teams, and embedded ethics throughout development. Human-centered approaches go beyond “AI for good” by addressing impacts on users and communities early in the design process. In education, AI holds promise for personalized learning and inclusion but demands careful integration to avoid harm.

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