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#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism

Machine Learning Street Talk (MLST)

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Navigating AI Governance and Risk

This chapter explores the intricate relationship between governance and risk assessment in artificial intelligence, emphasizing the need for clear frameworks and transparency. It critiques the one-size-fits-all approach to AI ethics, advocating for context-specific solutions and participatory design that prioritizes individual autonomy and consent. The discussion also addresses the challenges of trust in technology, particularly in light of recent crises and the implications for effective altruism in managing global risks.

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