Global AI Governance

The inherently global scope of the use of AI demands a governance strategy built on the principle of policy interoperability. This is not to advocate for globally uniform regulations, but rather for a coherent, mutually recognizable system akin to “APIs” in the digital realm, the technical pathways that allow different applications and systems to communicate and interoperate—an analogy to suggest effective interactions among diverse policy frameworks. Real-world examples include mutual recognition clauses in Free Trade Agreements; these create a pathway for reciprocity in technical assessment that can be adopted in global AI governance and also expanded from shared technical assessment to shared policy priorities. The governance of AI requires a multipronged approach addressing the broad potential application of advanced artificial intelligence, its acute risk to international and economic security, and the concrete effects and potential externalities of specific use cases. 

Recommendations to the United Nations on Global AI Governance, September 2023