Why AIs (Might) Obey the Law
Adapts Tyler's human legal-compliance survey to nine AI models, finding homogeneous self-reported compliance attitudes, sharp differences in sense of obligation, and demographic conditioning effects.
Research / Sources
Legal research on AI governance. law-ai.org
Adapts Tyler's human legal-compliance survey to nine AI models, finding homogeneous self-reported compliance attitudes, sharp differences in sense of obligation, and demographic conditioning effects.
Argues that frontier labs should train many AIs under diverse constitutions rather than one value set, citing risk mitigation, legitimacy, emergent value and avoiding value lock-in.
Argues that law can coach AI systems toward alignment from the bottom up, by learning legal alignment solutions from statutes and caselaw, and explores implications for regulation and liability.