This document refers to the deveopment and deployment of general-purpose AI systems in a wide range of contexts that may impact public health, well-being, and healthcare, without prejudice to further regulatory requirements for clinical settings and medical devices.

This extensive report points out a range of risks, including health-related risks, from the unsafe development and deployment of general-purpose AI systems. It delves into risk mitigation strategies to inform the development, deployment, and governance of general-purpose AI systems.

This document sets guidance to assist Member States in mapping the benefits and challenges associated with use of LMMs for health and in developing policies and practices for appropriate development, provision and use.

This document presents ten guiding principles for the development of medical devices with machine learning.

The document establishes two new mechanisms within the UN system to promote international cooperation on the governance of AI: the UN Independent International Scientific Panel on AI and the Global Dialogue on AI Governance. There is no specific health mention, but the broad mandate is expected to impact AI governance in health.

This document presents an overview of AI governance across regions, touching upon risks, applications, and governance challenges for health and other areas.

This document lays out the relevance of standards in addressing the AI governance fragmentation. Although not health-specific, it is a quick read for understanding standards as an international governance instrument.

This document focuses on accelerating AI competitiveness, adoption, and partnerships. No specific mention to health is made.