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…
AI for good content from this source type: Research Institute.
The Stanford HAI AI Index offers a data-heavy view of how AI is developing across research, industry, policy, public opinion, and real-world…
AI is moving into forecasting and early warning systems, where the public-interest value is faster alerts, better preparedness, and stronger climate resilience.
Partnership on AI’s guidance helps teams involve the people affected by AI systems, especially communities often left out of technology design.
UNICEF’s updated guidance puts child rights, safety, privacy, fairness, and inclusion at the center of AI governance for children.
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.
How open data and machine learning are powering early warnings and stronger communities.
Study introduces a framework to evaluate real-world impact across all 17 goals.
New governance conversations continue to shape how equitable AI is evaluated and deployed.
A toolkit helps teams audit bias and improve fairness in applied AI systems.