Mechanisms to Verify International Agreements About AI Development

TL;DR

This paper explores verification mechanisms for international AI development agreements, emphasizing practical approaches like inspections to ensure compliance and reduce catastrophic risks from advanced AI systems.

Contribution

It provides an overview of potential verification methods for international AI agreements, highlighting practical alternatives to technological solutions and emphasizing political commitment.

Findings

Physical inspections can substitute for technical verification methods.

Increased access enhances confidence in compliance.

Strong political will is crucial for effective verification mechanisms.

Abstract

International agreements about AI development may be required to reduce catastrophic risks from advanced AI systems. However, agreements about such a high-stakes technology must be backed by verification mechanisms--processes or tools that give one party greater confidence that another is following the agreed-upon rules, typically by detecting violations. This report gives an overview of potential verification approaches for three example policy goals, aiming to demonstrate how countries could practically verify claims about each other's AI development and deployment. The focus is on international agreements and state-involved AI development, but these approaches could also be applied to domestic regulation of companies. While many of the ideal solutions for verification are not yet technologically feasible, we emphasize that increased access (e.g., physical inspections of data centers) can often substitute for these technical approaches. Therefore, we remain hopeful that significant political will could enable ambitious international coordination, with strong verification mechanisms, to reduce catastrophic AI risks.