Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
Journal:
arXiv
Published Date:
May 1, 2025
Abstract
As artificial intelligence systems grow more capable and autonomous, frontier
AI development poses potential systemic risks that could affect society at a
massive scale. Current practices at many AI labs developing these systems lack
sufficient 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 from nuclear energy, aviation software, and healthcare, we
propose a comprehensive approach to safety documentation and accountability in
frontier AI development.
