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AI Governance

AI governance is the set of rules, policies, standards and oversight processes that guide how artificial intelligence systems are developed, deployed and held accountable, aiming to manage risks while supporting safe and responsible use.

TYPE: Topic
SIGNALS: 13
FIRST SEEN: Sep 11, 2026
LAST SEEN: Oct 20, 2026

Recent signals

Democratic governance of frontier AI, part II: Empowering cyber defenders Oct 20, 2026
A look at Anthropic's opaque, five-member Long-Term Benefit Trust, where members own no Anthropic equity but hold enormous sway by appointing most of its board (Theo Francis/Wall Street Journal) Oct 19, 2026
Global Leaders on AI Growth and Governance Oct 15, 2026
The Sixth Voice of the CISO Data Shows Cyber Risk Has Moved Inside the Workflow Oct 7, 2026
Is Your Organization Ready for 2027's AI Accountability Era? Oct 2, 2026
Omnissa delivers a peek into the benefits of breaking through enterprise data silos Oct 1, 2026
Data Centers, AI Face Skepticism in Australia Sep 28, 2026
At a White House summit, Xi Jinping says the US and China have "the capability and responsibility to develop and manage AI for good" as "leading nations" in AI (Mallory Wilson/The Hill) Sep 24, 2026
Mark Carney, Emmanuel Macron, and other Western leaders are pushing to establish a global supervisory regime and "technology stability" body to govern AI (Wall Street Journal) Sep 24, 2026
In his UN General Assembly speech, Trump rejects a "globalist scheme to control" AI, saying the US is "leading now over China by a lot and everyone else" (Financial Times) Sep 22, 2026
UK Prime Minister Andy Burnham says he plans to use the UK's upcoming G20 presidency to broker a global AI governance deal, ahead of the UN General Assembly (Politico) Sep 22, 2026
Xi Jinping calls for a "consensus-based global AI governance framework" and says China will pioneer the establishment of a BRICS AI open-source community (Joanna Ossinger/CNBC) Sep 13, 2026
AI Governance Can't Wait Sep 11, 2026