Primary Sources for AI Governance, Evaluation, and Data

Import AI — Weekly analysis of AI research, policy, and industry developments by Jack Clark.

OECD AI Policy Observatory — International policy resources, country updates, and research on AI governance.

Stanford Global Digital Policy Incubator (GDPI) — Research and policy work on governance of emerging technologies.

AI Now Institute — Research on the social and policy implications of artificial intelligence.

Center for Security and Emerging Technology (CSET) — Analysis of the national security and policy impacts of emerging technologies.

World Economic Forum – AI & Machine Learning — Publications and initiatives on global AI governance and adoption.

Stanford CRFM (Center for Research on Foundation Models) — Research on foundation model evaluation, transparency, and deployment.

Stanford AI Index — Annual report tracking global AI research, investment, and deployment trends.

NIST AI Risk Management Framework — U.S. standards and guidance for AI risk and governance.

MLCommons — Benchmarks and datasets for evaluating machine learning systems.

AI Verify Foundation — Governance and testing frameworks for trustworthy AI deployment.

UK AI Safety Institute — Research and evaluations focused on advanced AI system safety.

ISO/IEC JTC 1/SC 42 (AI Standards Committee) — International standards development for artificial intelligence.

European Commission – AI Office — EU policy, regulation, and implementation of the AI Act.

U.S. Office of Science and Technology Policy (AI) — Federal strategy and policy on artificial intelligence.

Hugging Face Datasets — Open repository of datasets used for machine learning research and development.

PhysioNet / PhysioSource — Open-access biomedical datasets for AI and health research.

Zenodo (AI & Data Collections) — Open-access repository for research datasets and software.

Papers With Code — Research papers linked to datasets, benchmarks, and code implementations.