Stanford AI Index Shows AI Moving Into Daily Life and Public Systems
The Stanford HAI AI Index offers a data-heavy view of how AI is developing across research, industry, policy, public opinion, and real-world…
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OECD’s AI Policy Toolkit Helps Governments Move from Principles to Practice
OECD’s AI Policy Toolkit gives policymakers practical examples and guidance for turning trustworthy AI principles into implementable policy.
NIST’s Generative AI Profile Gives Teams a Practical Risk Framework
NIST’s Generative AI Profile translates the AI Risk Management Framework into a practical guide for identifying and managing generative AI risks.
WHO Guidance Signals That Health AI Needs Governance Before Scale
WHO’s guidance on large multimodal models in health puts safety, transparency, and oversight at the center of responsible health AI adoption.
AI-Powered Weather Warnings Are Becoming Public Safety Infrastructure
AI is moving into forecasting and early warning systems, where the public-interest value is faster alerts, better preparedness, and stronger climate resilience.
NASA and IBM’s Open Weather Model Shows How Climate AI Can Support Local Decisions
NASA and IBM’s Prithvi-weather-climate model points to a future where open climate AI can support forecasting, storm tracking, and environmental planning.
Inclusive AI Starts with the People Most Affected
Partnership on AI’s guidance helps teams involve the people affected by AI systems, especially communities often left out of technology design.
UNICEF Updates Child-Centered AI Guidance for the Generative AI Era
UNICEF’s updated guidance puts child rights, safety, privacy, fairness, and inclusion at the center of AI governance for children.
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…
Stanford AI Index Shows Responsible AI Is Still Lagging Behind Deployment
Stanford’s 2026 AI Index finds that responsible AI benchmarking, transparency, and governance are not keeping pace with AI capability and deployment.