Page 5: Research news on AI governance

AI governance addresses the design, implementation, and evaluation of legal, institutional, and procedural mechanisms that guide the development and deployment of artificial intelligence systems. It encompasses national and international regulatory frameworks, management-based regulation, and dynamic governance models aimed at mitigating societal and existential risks. The domain integrates AI ethics, safety standards, red-teaming, and accountability tools, and involves multistakeholder participation in setting global norms, establishing red lines, and aligning AI infrastructure and literacy initiatives with evidence-based public policy.

Machine learning & AI

In a shift, OpenAI calls for US rules on powerful AI

OpenAI is calling for binding safety requirements on the most powerful artificial intelligence systems, a reversal for a company that has resisted calls for regulation.

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