The World Health Organization has released a landmark report — Artificial Intelligence-related health research: ethics review and oversight — calling for a major upgrade in how the world governs AI in health research. While AI holds enormous promise for accelerating scientific discovery and improving health outcomes, the WHO warns that current ethics oversight systems may be ill-equipped to handle the unique risks AI introduces, including algorithmic bias, privacy concerns, lack of transparency, and accountability gaps.

The report outlines three broad categories of AI-related health research and maps out how ethical oversight should be strengthened at every stage — from study design and ethics review all the way through to publication and regulatory implementation. Research ethics committees (RECs) are identified as central players, but the report notes they'll need more expertise, training, and resources to keep pace with rapidly evolving AI tools.

A key theme is equity: much of today's AI research and development is concentrated in high-income countries, leaving low- and middle-income nations at risk of being left behind — or worse, harmed by technologies not designed with their populations in mind.

Key Takeaways:

• Ethics committees need new expertise and resources to effectively review AI-related studies
• Funders, journals, regulators, and professional societies all share responsibility for responsible AI research governance
• Strengthening local AI research capacity in low- and middle-income countries is critical to ensuring equitable benefits

Why it matters: As AI becomes deeply embedded in health research, the stakes for getting governance right are enormous. Without robust, globally inclusive oversight, AI could deepen existing health inequities rather than close them.