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AI Standards for Global Impact: From Governance to Action
8 Enabling AI for health innovation and access
This section is based on the outcomes of the workshop organized by ITU, the World Health
Organization (WHO), and the World Intellectual Property Organization (WIPO-, the founding UN
agencies of the Global Initiative on AI for Health (GI-AI4H) during the International AI Standards
Exchange. The aims of the workshop were to promote AI4H-related standardized guidelines,
catalyse cross-sector collaboration, and encourage broader participation from the global
health and AI communities. Designed for policymakers, technologists, health practitioners,
and humanitarian leaders, the session consisted of three themes, namely the global landscape
on AI for health, frontline use cases of AI in health, and the interplay of intellectual property
and AI for health.
The workshop highlighted the following:
• Strategy and frameworks for AI in health, highlighting the role of standards, policies,
and governance in responsible AI integration in health systems, elaborating how GI-AI4H
drives global cooperation with standardized frameworks, knowledge sharing, and pilot
initiatives.
• Real-world AI-enabled solutions for global health challenges, such as LLMs for conflict-
zone triage, AI-driven diagnostics for non-communicable diseases, intellectual property
(IP) commercialization pathways for health technologies, etc.
• Intersection of AI and IP law, discussing the evolving legal landscape, ethical
considerations, and strategies for managing IP in the age of AI.
8�1 Global Initiative on AI for Health (GI-AI4H)
In recognition of the importance of digital health, the rapid development of AI, the need for
guidance to all stakeholders to increase adoption of AI solutions, and the pioneering work
done by the ITU/WHO Focus Group on AI for Health, the leadership of ITU, the World Health
Organization (WHO), and the World Intellectual Property Organization (WIPO) announced
during the AI for Good Global Summit 2023 the launch of the Global Initiative on AI for Health
(GI-AI4H).
Figure 31: FG-AI4H benchmarking framework with 36 deliverables
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