Trustworthy Health Evidence in the Age of Generative AI: GEO as a New Capacity for Digital Health Governance
1. World Digital Technology Academy; 2. Yealth Technology
Session 269
Generative AI is changing how people seek health information: from searching and browsing to asking and receiving direct answers. This shift raises an urgent global health governance challenge. If trustworthy evidence, public health guidance, and institutional knowledge are not well represented in AI-generated responses, unreliable or commercially optimized information may increasingly shape public understanding, clinical choices, and policy debates.
This panel will discuss Generative Engine Optimization (GEO) not as a technical tool, but as an emerging strategy for strengthening trustworthy health information ecosystems. The session will explore how governments, international organizations, and health institutions can build capacity to improve the visibility, accuracy, and responsible transfer of evidence into AI-mediated public knowledge. Speakers will share practical experiences and discuss how GEO can support digital health, public health infrastructure, knowledge translation, and national strategies for trustworthy AI in health.
- Objective 1: Close all digital divides and accelerate progress across the Sustainable Development Goals
- Objective 3: Foster an inclusive, open, safe and secure digital space that respects, protects and promotes human rights
- Objective 4: Advance responsible, equitable and interoperable data governance approaches
- Objective 5: Enhance international governance of artificial intelligence for the benefit of humanity