Page 14: 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.

Security

Q&A: Can the tech behind crypto help align AI with human values?

As people increasingly use artificial intelligence (AI) in various areas of life to either save time or improve performance, the influence of AI systems grows—as does the risk of untrustworthy results in high-stakes decision-making, ...

Consumer & Gadgets

Five ways to make AI more trustworthy

Self-driving taxis are sweeping the country and will likely start service in Colorado in the coming months. How many of us will be lining up to take a ride? That depends on our level of trust, says Amir Behzadan, a professor ...

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