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Challenges for Foundation Model Liability and Regulatory Regimes: An Analysis of US Law

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter points out the significant challenges in holding foundation model developers and deployers clearly responsible for the uses and outputs of their creations under US law. Scienter requirements, and difficulties in creating proof, make it challenging to establish liability under many statutes with civil penalties and torts. Constitutional protections for speech may shield model-generated outputs, or the models themselves, from some forms of regulation-though legal scholars are divided over the extent of these protections. And legal challenges to agencies’ authority over AI systems could hamstring regulators’ ability to proactively address foundation models’ risks. All is not lost, though. Each of these doctrines do have potential pathways to liability and recourse. However, in all cases there will likely be protracted battles over liability involving the issues described in this chapter.

Original languageEnglish (US)
Title of host publicationThe Cambridge Handbook of Generative AI and the Law
PublisherCambridge University Press
Pages122-133
Number of pages12
ISBN (Electronic)9781009492584
ISBN (Print)9781009492553
DOIs
StatePublished - Jan 1 2025

All Science Journal Classification (ASJC) codes

  • General Social Sciences

Keywords

  • AI liability
  • civil liability
  • constitutional law
  • foundation models
  • US law

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