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 for good content from this source type: Multilateral.
WHO’s guidance on large multimodal models in health puts safety, transparency, and oversight at the center of responsible health AI adoption.
WHO/Europe’s readiness report looks beyond individual tools to the policies, workforce capacity, data practices, and legal frameworks needed for health AI.
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.
The UN Global Dialogue on AI Governance shows how international AI governance is moving from broad principles toward more formal institutions and…
OECD’s AI Policy Toolkit gives policymakers practical examples and guidance for turning trustworthy AI principles into implementable policy.
A practical checklist for teams using AI in public-good projects.