Legal Alignment for Safe and Ethical AI
Proposes legal alignment, using legal rules, interpretation methods and legal concepts to specify and ensure AI systems act safely and ethically, and outlines open research and governance questions.
Research / Sources
Institute for Law & AI
Legal research on AI governance. law-ai.org
Focus All
Topic Theory
Date Any time
AI Rights for Human Safety
Argues that misaligned AGI and humans face a game-theoretic prisoner's dilemma, and proposes granting AIs private law rights such as contracting, property and tort claims to reduce conflict risk.
Law-Following AI: Designing AI Agents to Obey Human Laws
Argues that AI agents should be designed to follow human law, framing law-following as an alignment goal, and proposes legal duties, policy options and a research agenda.
AI Will Not Want to Self-Improve
Argues that explosive AI self-improvement is less likely than classic risk accounts assume, because the same alignment-related incentives that deter humans from building more capable AI also deter AI systems from self-improving.