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

AI firms flex lobbying muscle on both side of Atlantic

AI developers are ramping up efforts to win over the hearts and minds of officials in Europe and the United States, hoping to sway governments as they weigh high-stakes regulatory frameworks for the ever more powerful technology.

Machine learning & AI

China seeks to rein in risks from AI 'digital humans'

After her father died from cancer, Zhang Xinyu had an artificial intelligence avatar made that looks and sounds just like him, part of a growing "digital human" industry that China is moving to govern more tightly.

Machine learning & AI

Unpredictable AGI may resist full control, making diverse AI safer

Public concern about AI safety has grown significantly in recent years. As AI systems become more powerful, a key question is how we make sure they do what we actually want. Now, researchers suggest that rather than trying ...

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