International Institutions for Advanced AI

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 in existing organizations: 1) a Commission on Frontier AI that facilitates expert consensus on opportunities and risks from advanced AI, 2) an Advanced AI Governance Organization that sets international standards to manage global threats from advanced models, supports their implementation, and possibly monitors compliance with a future governance regime, 3) a Frontier AI Collaborative that promotes access to cutting-edge AI, and 4) an AI Safety Project that brings together leading researchers and engineers to further AI safety research. We explore the utility of these models and identify open questions about their viability.