A Framework for the Private Governance of Frontier Artificial Intelligence
This addresses governance challenges for policymakers and AI developers, but it is incremental as it builds on existing discussions of AI regulation.
The paper tackles the problem of governing frontier AI systems by proposing a hybrid public-private framework where private bodies certify developers in exchange for liability protections, and it analyzes the political, legal, and safety tradeoffs of this approach.
This paper presents a proposal for the governance of frontier AI systems through a hybrid public-private system. Private bodies, authorized and overseen by government, provide certifications to developers of frontier AI systems on an opt-in basis. In exchange for opting in, frontier AI firms receive protections from tort liability for customer misuse of their models. Before detailing the proposal, the paper explores more commonly discussed approaches to AI governance, analyzing their strengths and flaws. It also examines the nature of frontier AI governance itself. The paper includes consideration of the political economic, institutional, legal, safety, and other merits and tradeoffs inherent in the governance system it proposes.