Global AI Governance Moves from Principles to Institutions
The UN Global Dialogue on AI Governance shows how international AI governance is moving from broad principles toward more formal institutions and…
Briefings, research, opportunities, events, tools, and use cases related to Data & AI Ethics.
The UN Global Dialogue on AI Governance shows how international AI governance is moving from broad principles toward more formal institutions and…
NIST’s Generative AI Profile translates the AI Risk Management Framework into a practical guide for identifying and managing generative AI risks.
Stanford’s 2026 AI Index finds that responsible AI benchmarking, transparency, and governance are not keeping pace with AI capability and deployment.
AI is moving into forecasting and early warning systems, where the public-interest value is faster alerts, better preparedness, and stronger climate resilience.
UNESCO’s AI Competency Framework for Students gives schools a practical way to define what responsible AI literacy should include.
UNESCO’s teacher framework focuses on the knowledge, skills, and values educators need to use AI safely, ethically, and effectively.
Partnership on AI’s guidance helps teams involve the people affected by AI systems, especially communities often left out of technology design.
How open data and machine learning are powering early warnings and stronger communities.
A practical checklist for teams using AI in public-good projects.
A policy forum focused on data governance and responsible AI.
A policy forum focused on data governance and responsible AI.
A policy forum focused on data governance and responsible AI.
A policy forum focused on data governance and responsible AI.
A policy forum focused on data governance and responsible AI.
A policy forum focused on data governance and responsible AI.
Work on fairness, accountability, and public-interest AI research.
A policy forum focused on data governance and responsible AI.