Page 3: 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

Can we shut down AI?

The debate over potential dangers posed by artificial intelligence has resurfaced in recent weeks, with researchers once again warning that the technology could end humanity and leaders of AI companies suggesting development ...

Machine learning & AI

Meta chief pushes back on AI slowdown calls

Meta CEO Mark Zuckerberg pushed back Tuesday against growing calls to pause or slow AI development, arguing that market incentives and legal liability are the best safeguards against the technology's risks.

Machine learning & AI

AI giants pursue self-regulation as safety fears mount

The world's biggest AI companies are working to create a standards body, ChatGPT maker OpenAI said Tuesday, as fears rise about the dangers of AI and pressure mounts to create a safer version of the technology.

page 3 from 34