Page 20: 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.

Machine learning & AI

San Diego County seeks new policy to govern use of AI

With artificial intelligence already affecting nearly every aspect of people's lives, San Diego County supervisors want a formal policy that spells out how staff will use—or avoid—the technology.

Computer Sciences

AI with, for and by everyone can help maximize its benefits

Humans' ability to learn from one another across cultures over generations drives our success as a species as much as our individual intelligence. This collective cultural brain has led to new innovations and developed bodies ...

Internet

Dataset reveals how Reddit communities are adapting to AI

Researchers at Cornell Tech have released a dataset extracted from more than 300,000 public Reddit communities, and a report detailing how Reddit communities are changing their policies to address a surge in AI-generated ...

Machine learning & AI

Opinion: We must balance the risks and benefits of AI

The potential of AI to transform people's lives in areas ranging from health care to better customer service is enormous. But as the technology advances, we must adopt policies to make sure the risks don't overwhelm and stifle ...

Machine learning & AI

Firms and researchers at odds over superhuman AI

Hype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in the field see the claims as marketing spin.

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