Page 15: 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.

Business

'Marathon at F1 speed': China bids to lap US in AI leadership

Beyond dancing robots and eager-to-help digital avatars, Shanghai's World AI Conference saw China stake its claim to global artificial intelligence leadership and frame itself as a clear alternative to the United States.

Robotics

Humanoid robots embodiment of China's AI ambitions

Serving craft beer, playing mahjong, stacking shelves and boxing, the dozens of humanoid robots at Shanghai's World AI Conference (WAIC) this weekend were embodiments of China's growing AI prowess and ambition.

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