Page 6: 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

Widespread AI adoption masks deeper problem, study shows

Irrespective of the ethics and the apocalyptic predictions, artificial intelligence (AI) has already become a central component of economic and institutional decision-making. Research in the International Journal of Intelligent ...

Machine learning & AI

AI agent 'lobster fever' grips China despite risks

Chinese entrepreneur Frank Gao used to spend long hours running his social media accounts but now outsources the chore to AI agent tool OpenClaw, which is taking the country by storm despite official warnings over cybersecurity.

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