The AI Governance and Regulatory Archive
A living collection of AI laws, regulations, standards, and governance instruments from the United States and around the world.
Research
Understanding AI’s consequences—and how we can govern it
Our labs investigate how AI affects people, organizations, and public life, developing datasets and tools to advance research and inform policy.
Cross-cutting research themes
Shared questions across GRAIL’s research.
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Governing AI
How laws, public institutions, companies, and professional communities shape AI. We examine policy and regulation, public sector implementation, standards, and the translation of responsible AI principles into organizational practice.
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Understanding AI’s consequences
How AI changes public attitudes, political communication, trust, work, and the distribution of risks and benefits. This includes research on participation, synthetic media and information integrity, automation, and worker well-being.
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Building capacity and accountability
How education, evidence, and oversight help people and institutions evaluate and shape AI responsibly. We study AI literacy, auditing, and practical mechanisms for accountability and public participation.
Our labs
Seven long-running labs turn these shared questions into sustained research, datasets, tools, and public-interest partnerships.
AI SHARE
AI Survey Hub for Attitudes and Research Exchange
A coordinated research infrastructure for finding, comparing, and learning from public-opinion measures about artificial intelligence.
FAIRWORK
Forecasting AI Risks and Impacts on the Workforce
A large-scale systematic review forecasting how AI and automation affect workers, firms, and the changing meaning of work.
LOCAL AI
Local Oversight, Capacity, Adoption, and Leadership in AI
Research on how local governments respond to, adopt, and govern artificial intelligence.
Political Deepfakes Incidents Database
A cross-disciplinary database of politically salient deepfakes, synthetic media, and researcher-coded incident evidence.
PTAP
Police Technology and Accountability Project
Evidence on police leadership, civilian oversight, accountability practices, and the use of AI and other technologies by police agencies.
CIVIC
Community Impacts and Voice in Computing Infrastructure
Research on the community, environmental, and policy impacts of AI data centers and computing infrastructure.
Recent publications
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Proceedings of the 2026 ACM Internet Measurement Conference · 2026
Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
Haofei Xu; Umar Iqbal; Jacob Montgomery
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American Journal of Criminal Justice · 2026
Synthetic Data as a Pathway to Reproducible Criminology
Ian Tyler Adams; Paige E. Vaughn
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International Journal of Human–Computer Interaction · 2026
Dear AI, Which Charging Station Should I Pick? The Role of Uncertainty and Perceived Functionality Trust in Charging Station Selection Through AI Recommendations
Juan Pablo Loaiza-Ramírez; Torsten Reimer; Peter M. Todd; Xinwu Qian; Hossein Gazmeh; Omar Faruqe Hamim; Satish V. Ukkusuri