International Institutions for Advanced AI
Lewis Ho, Joslyn Barnhart, Robert Trager, Yoshua Bengio, Miles, Brundage, Allison Carnegie, Rumman Chowdhury, Allan Dafoe, Gillian Hadfield,, Margaret Levi, Duncan Snidal

TL;DR
This paper explores international institutional models to promote safe, beneficial, and responsible development of advanced AI, addressing global risks and fostering collaboration through four proposed governance structures.
Contribution
It proposes four distinct international institutional models for AI governance, integrating existing organizational precedents to address safety, access, and risk management.
Findings
International institutions can facilitate AI safety and innovation.
Four governance models offer complementary functions for global AI oversight.
Open questions remain about the viability of these institutional approaches.
Abstract
International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sustainable development, and coordination of regulatory efforts can reduce obstacles to innovation and the spread of benefits. Conversely, the potential dangerous capabilities of powerful and general-purpose AI systems create global externalities in their development and deployment, and international efforts to further responsible AI practices could help manage the risks they pose. This paper identifies a set of governance functions that could be performed at an international level to address these challenges, ranging from supporting access to frontier AI systems to setting international safety standards. It groups these functions into four institutional models that exhibit internal synergies and have precedents…
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Taxonomy
TopicsEthics and Social Impacts of AI · Supply Chain Resilience and Risk Management
