Page 19: 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

Tech execs give Congress AI wish list

Tech leaders representing four major players in artificial intelligence appeared before Congress on May 8, urging looser regulation and heavier investment in energy to support the technology's growth.

Machine learning & AI

OpenAI offers to help countries build AI systems

OpenAI on Wednesday announced an initiative to help countries build their own artificial intelligence (AI) infrastructures, with the US government a partner in projects.

Security

Developing privacy-aware building automation

Researchers at the University of Tokyo developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces ...

Machine learning & AI

AI policies in Africa: Lessons from Ghana and Rwanda

Artificial intelligence (AI) is increasing productivity and pushing the boundaries of what's possible. It powers self-driving cars, social media feeds, fraud detection and medical diagnoses. Touted as a game changer, it is ...

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