Page 21: 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.

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.

Machine learning & AI

Trump's AI plan prioritizes deregulation to boost US dominance

President Donald Trump unveiled an aggressive, low-regulation strategy on Wednesday to boost big tech's race to stay ahead of China on artificial intelligence and cement US dominance in the fast-expanding field.

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