Coordinated Disclosure of Dual-Use Capabilities: An Early Warning System for Advanced AI

TL;DR

This paper proposes a coordinated disclosure system for sharing information about dual-use advanced AI capabilities to enhance early warning and response to potential risks to public safety and security.

Contribution

It introduces the CDDC process, an information-sharing framework involving AI developers, government, and private sector to identify and respond to dual-use AI capabilities.

Findings

Establishes a structured process for early disclosure of dual-use AI capabilities.

Facilitates timely response to AI threats through an information clearinghouse.

Enhances collaboration between AI developers and security agencies.

Abstract

Advanced AI systems may be developed which exhibit capabilities that present significant risks to public safety or security. They may also exhibit capabilities that may be applied defensively in a wide set of domains, including (but not limited to) developing societal resilience against AI threats. We propose Coordinated Disclosure of Dual-Use Capabilities (CDDC) as a process to guide early information-sharing between advanced AI developers, US government agencies, and other private sector actors about these capabilities. The process centers around an information clearinghouse (the "coordinator") which receives evidence of dual-use capabilities from finders via mandatory and/or voluntary reporting pathways, and passes noteworthy reports to defenders for follow-up (i.e., further analysis and response). This aims to provide the US government, dual-use foundation model developers, and other actors with an overview of AI capabilities that could significantly impact public safety and security, as well as maximal time to respond.