Page 13: 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

Anthropic to open India office as AI demand grows

US startup Anthropic on Wednesday said it plans to open an office in India next year, as global generative AI players seek inroads into the world's most populous country.

Internet

California enacts AI safety law targeting tech giants

California Governor Gavin Newsom has signed into law groundbreaking legislation requiring the world's largest artificial intelligence companies to publicly disclose their safety protocols and report critical incidents, state ...

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