Page 2: 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

OpenAI calls for US to lead global effort on AI standards

OpenAI on Monday called for the United States to lead a global effort to establish standards for developing artificial intelligence as CEO Sam Altman prepares to brief the United Nations this week.

Machine learning & AI

Anthropic picks Accenture for in-house AI safety evaluation

Anthropic said Friday it is partnering with consulting giant Accenture to have outside evaluators work inside the AI company, a step toward fulfilling a pledge by CEO Dario Amodei to have independent observers evaluate its ...

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