2nd Meeting of the ITU/WHO/WIPO Global Initiative on AI for Health (GI-AI4H) Meeting Report
This document is the meeting report from the 2nd convening of the ITU/WHO/WIPO Global Initiative on AI for Health (GI-AI4H), held in Singapore from March 17 to 19, 2025. It details operational planning, working group sessions on data, evaluation, intellectual property, and regulatory considerations, alongside topic group updates and keynote presentations. The convening marked a transition from foundational discussions to concrete deliverables, such as drafting a template law for AI in health and establishing global data packaging standards.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, regulators, and health professionals engaged in developing or implementing AI governance in healthcare.
What the document contains
The document covers meeting proceedings, working group outputs, keynotes, and flash presentations concerning AI governance, regulatory frameworks, data exchange protocols, evaluation methodologies, and intellectual property in global health.
It does not contain binding national legislation or legally enforceable administrative orders.
- The Global Initiative on AI for Health (GI-AI4H) held its second convening in Singapore to transition from foundational discussions to operational planning.
- Working groups established concrete deliverables, including a draft Template Law for AI in health by June 2025 and data standardization protocols.
- Cross-cutting discussions emphasized balancing innovation with patient safety, non-deterministic AI evaluation, and inclusive participation.
- Six Topic Groups reported progress on domain-specific applications such as maternal health, traditional medicine, and point-of-care diagnostics.
· Acronyms · Introduction · Day 1: Monday, 17 March 2025 · Day 2: Tuesday, 18 March 2025 · Day 3: Wednesday, 19 March 2025 · Conclusion · Appendix: Participant List (151)
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
Solaiman focused on healthcare law and bioethics, particularly questions of liability and governance in AI-assisted medical decision-making.
2.4 High-Level Panel: AI for Health Implementation
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
Improve health equity and access through practical evaluation tools.
1.3.2 WG-Evaluation
screening score · 2026-10-23
Human Dignity
1/5Respect for the inherent worth of persons
emphasizing the initiative's strategic relevance in advancing trustworthy, inclusive, and effective AI for health globally.
1.1 Opening Remarks & Meeting Objectives
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
Calls were made to ensure that AI augments but does not replace professional judgment, with concerns raised about the inappropriate use of tools like LLMs.
1.3.4 WG-Regulatory Considerations
screening score · 2026-10-23
Privacy
2/5Protection of personal data and private life
The toolkit will also aim to provide templates for data sharing agreements and guidance for localizing international standards.
1.3.4 WG-Regulatory Considerations
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
Building trust and transparency, ensuring that AI solutions meet rigorous quality and ethical standards.
1.2 Overview of GI-AI4H Activities
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Introduction
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
The Evaluation Working Group will develop modular, LMIC-adapted toolkits for assessing AI safety, effectiveness, and cost-effectiveness—moving beyond model accuracy to real-world impact assessment.
Key Decisions and Commitments
screening score · 2026-10-23