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.

Business

AI governance is not just top-down in China, research finds

China watchers arguing that Beijing's artificial intelligence controls are dependent on its authoritarian government are peddling a "stereotypical narrative," according to new research. Xuechen Chen, associate professor in ...

Machine learning & AI

Job threats, rogue bots: five hot issues in AI

As artificial intelligence evolves at a blistering pace, world leaders and thousands of other delegates will discuss how to handle the technology at the AI Impact Summit, which opens Monday in New Delhi.

Consumer & Gadgets

Feeling 'AI anxiety'? Here are the risks people fear most

A patient said to me the other day, half-smiling but clearly unsettled: "I think I've got anxiety about AI." They weren't having a panic attack or describing clinical anxiety. What they were expressing was a persistent sense ...

Business

AI could rebalance power between people and the services they use

Artificial intelligence could help people who feel overwhelmed, excluded or disadvantaged when dealing with everyday tasks like paying energy bills or booking health care appointments, according to a new study involving researchers ...

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