Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
Aidan Kierans, Kaley Rittichier, Utku Sonsayar
Abstract
Despite growing risks, current practices at frontier AI labs lack transparency around safety measures, testing procedures, and governance structures. This opacity makes it challenging to verify safety claims or establish appropriate liability when harm occurs. Drawing on liability frameworks in domains with similar risks, we propose a comprehensive approach to safety documentation and accountability in frontier AI development.