# AI Governance: Risk Frameworks, Audits, and International Cooperation
Status: public
Confidence: medium (0.82) (verified)
Last verified: 2026-05-28
Generation: ai_structured


## TL;DR

AI governance combines law, standards, risk management, audits, and international coordination to shape how AI systems are developed and deployed.

## Core Explanation

Three stable anchors are the EU AI Act, the NIST AI Risk Management Framework, and the Bletchley Declaration. They represent legal regulation, voluntary risk-management guidance, and international cooperation on frontier AI safety.

## Evidence Notes

The previous version cited an unofficial AI Act site and mixed in future-looking legal summaries. This repair uses official European Commission, NIST, and UK Government sources.

## Further Reading

- [AI Act - European Commission](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)
- [AI RMF 1.0 - NIST](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10)
- [Bletchley Declaration - GOV.UK](https://www.gov.uk/government/news/countries-agree-to-safe-and-responsible-development-of-frontier-ai-in-landmark-bletchley-declaration)

## Related Articles

- [AI Ethics and Bias](ai-ethics-and-bias.md)
- [AI Regulation Landscape](ai-regulation-landscape.md)
- [AI Red Teaming and Safety](ai-red-teaming-and-safety.md)