The paper "Collective Action for Responsible AI in Health" by Brian Anderson and Eric Sutherland, published by the OECD, explores the profound impact of artificial intelligence (AI) on health systems and the need for responsible AI to ensure resilience, sustainability, equity, and person-centered care. The authors highlight the opportunities and risks associated with AI in health, emphasizing the importance of trust, capacity building, evaluation, and collaboration. They propose practical actions for policymakers to advance responsible AI in health, including improving trust, building capacity, evaluating and evolving AI solutions, and accelerating collective action. The paper also discusses the barriers to AI adoption in health, such as fragmented data infrastructure, lack of harmonized policies, and insufficient trust, and suggests that these issues can be addressed through coordinated efforts and international cooperation. The OECD is committed to supporting these efforts through its expertise and leadership in AI governance.The paper "Collective Action for Responsible AI in Health" by Brian Anderson and Eric Sutherland, published by the OECD, explores the profound impact of artificial intelligence (AI) on health systems and the need for responsible AI to ensure resilience, sustainability, equity, and person-centered care. The authors highlight the opportunities and risks associated with AI in health, emphasizing the importance of trust, capacity building, evaluation, and collaboration. They propose practical actions for policymakers to advance responsible AI in health, including improving trust, building capacity, evaluating and evolving AI solutions, and accelerating collective action. The paper also discusses the barriers to AI adoption in health, such as fragmented data infrastructure, lack of harmonized policies, and insufficient trust, and suggests that these issues can be addressed through coordinated efforts and international cooperation. The OECD is committed to supporting these efforts through its expertise and leadership in AI governance.