Artificial Intelligence and Existential Risk

Canonical citation:
Matthew J. Tokson & Yonathan A. Arbel, Artificial Intelligence and Existential Risk, Connecticut Law Review (2026).

Abstract:
Artificial Intelligence and Existential Risk brings existential AI risk into mainstream legal scholarship. It classifies existential AI risks into human-directed risks, accident risks, and loss-of-control risks, argues that legal institutions should make these risks legible under uncertainty, critiques the AI arms-race metaphor, and proposes adaptive regulation that preserves policy optionality while responding to non-trivial catastrophic risk.

Source links:
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6288138-https://ssrn.com/abstract=6288138-http://dx.doi.org/10.2139/ssrn.6288138