2 December 2025 Nairobi, Kenya
HealthAI Global Governance Forum 2025: Building Trust in AI for Health

About the Forum

The HealthAI Global Governance Forum (HealthAI GGF) is an annual, flagship event that gathers global actors at the forefront of health, responsible AI, and governance.

Participation in the Forum is free and open to a broad range of stakeholders —from policymakers and regulators to academics, innovators, civil society, and the private sector.

The HealthAI GGF is designed for inclusive participation, and offers a unique platform for exchanging knowledge, shaping global policy, and promoting equity in AI for health. By spotlighting regulatory innovation, advancing thought leadership, and fostering international collaboration, the Forum aims to become the definitive global gathering on AI governance in health.

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What to Expect

What to Expect

1 Day · 9 Sessions
Keynotes · Panels · Workshops
In-person networking session

Why Attend?

  • Discover emerging approaches to AI governance in health

    Learn from pioneering countries, regulatory experiments, and global initiatives that are testing new ways to integrate AI ethically and safely into health systems.

  • Exchange insights with peers and adjacent sectors

    Join structured dialogues across regions and disciplines — gaining fresh perspectives from civil society, innovators, academia, and global institutions.

  • Explore global efforts on responsible AI

    Understand how governance approaches are evolving internationally, and explore opportunities to harmonize practices or adapt global frameworks to local contexts.

  • Advance equity as a shared priority

    Engage in conversations that prioritize inclusive, context-sensitive governance models, where responsibility and fairness are built into the design and deployment of AI.

  • Contribute expertise to a global knowledge space

    GGF invites participants not only to listen, but to lead sessions, share lessons learned, and co-create ideas that strengthen the field of health AI governance.

Shaping the Agenda

Thematic Areas at a Glance

Scaling Equitable and Inclusive Access and Responsible Use of AI in Health

Scaling Equitable and Inclusive Access and Responsible Use of AI in Health

This theme explores how to ensure that the benefits of AI in health are fairly and equitably distributed across populations. For such, it focuses on governance approaches, ethical design and contextual relevance to scale responsible AI solutions for health.

This thematic area includes, but not limited to, the following topics:

  • Regulation as an enabler of innovation: Adaptive and participatory governance and regulatory frameworks that ensure the safety and effectiveness of AI solutions, allowing their widespread adoption in diverse contexts.
  • Inclusive design and deployment: Addressing gender and equity disparities, digital divides, and the meaningful inclusion of young people, women and historically marginalized populations, such as refugees, persons with disabilities, and indigenous communities in the co-creation, development, deployment and monitoring of AI for health; ensuring AI solutions are informed and contextualized by geography and user demographics.
  • Equity in access and impact: Adopting strategies to develop AI models that address pressing health issues; enabling equitable access to AI within public health systems and supporting scalable deployment in varied socio economic settings and cultural contexts.
Stakeholder Engagement to Build Trust

Stakeholder Engagement to Build Trust

This theme focuses on cultivating meaningful and inclusive stakeholder engagement across sectors, regions, and levels of governance. It explores how to build public confidence, ensure AI in health responds to the needs of diverse stakeholders, align diverse interests, and establish sustainable and cooperative relationships that support trustworthy AI ecosystems.

Include, but not limited to, topics such as:

  • Building public and institutional trust: Approaches to increase public understanding, capacity-building, and context sensitivity engagement to foster confidence in AI systems.
  • Multi-level convergence: Aligning local stakeholders around AI governance principles and ensuring compatibility between different governance models; Demonstrating how private sector leveraging AI in different geographies should approach AI governance.
  • Cooperation and partnership: Promoting early and equitable involvement of relevant stakeholders across all stages of AI development, deployment and use; encouraging cross-sector collaboration and information sharing to support responsible and sustainable implementation.
International Cooperation to advance Responsible AI in Health

International Cooperation to advance Responsible AI in Health

Effective governance of AI in health requires collaboration that goes beyond national borders. This theme focuses on fostering international cooperation to harmonize standards, align strategies, support equity and build shared frameworks that support responsible, context-sensitive development and adoption of AI and governance of health data generated by AI. It also aims to highlight current activities of major multilateral organizations in this space.

Include, but not limited, to topics such as:

  • Global partnerships in governance: Mechanisms and frameworks to enable meaningful, cross-border collaboration on governance issues, including regulatory coherence and mutual learning of AI and health data curation and governance.
  • Governance coherence: Addressing tensions and synergies between global vs. local governance approaches, and across health-specific and general AI regulatory frameworks.
  • Strategy alignment: Bridging AI in health strategies with broader global digital health agendas to ensure cohesive national and international planning.
Operationalizing Data and AI Governance and Regulatory Principles

Operationalizing Data and AI Governance and Regulatory Principles

Turning curated data and Responsible AI principles into practice requires robust tools, regulatory mechanisms, and workforce competencies. This theme examines how to bridge the gap between high-level frameworks and their implementation in real-world settings, as well as the intersection of data curation and AI governance.

Include, but not limited, to topics such as:

  • From principles to action: Tools and strategies to translate AI and health data governance principles into practical applications, including the establishment and strengthening of legislative frameworks, regulatory sandboxes, policy frameworks, risk assessments and mitigation strategies. 
  • Data governance: Ensuring appropriate, high-quality and curated data is available for training AI models; addressing bias and privacy; ensuring robust legislative and regulatory frameworks to enable responsible use of health and personal data.
  • Implementation and measurement: Developing governance structures tailored to various AI use cases (e.g., diagnosis vs. prognosis vs. scheduling); monitoring and measuring the public health impact and economic return of regulatory frameworks for AI in health.
Capacity Strengthening on AI Governance in Health

Capacity Strengthening on AI Governance in Health

This theme focuses on creating inclusive opportunities for capacity building and strengthening—ensuring that policymakers, regulators, researchers, innovators, health professionals and civil society are equipped to govern and use AI technologies, and the data they generate,  effectively as they evolve.

Include, but not limited to, topics such as:

  • Training and upskilling: Promoting widespread access to courses on ethics, AI and health data governance, including internationally recognized standards and guidance,, and the practical use of AI in health for professionals across sectors and regions.
  • Keeping pace with technology: Ensuring regulatory capacity, supported by continuous learning and adaptive training programs, evolves alongside advancements in different and emerging subtypes of AI.
  • Knowledge exchange: Workshops for knowledge exchange and creation of networks to foster collaborations.

Guided by a global group of experts

Our Scientific Advisory Committee

André Carlos Ponce de Leon Ferreira de Carvalho

André C P L F de Carvalho is Professor and Dean of the Institute of Mathematics and Computer Science, University of São Paulo, Brazil. He coordinates the Brazilian Applied AI Research Centre for Smart and Sustainable Cities IARA and the National Science and Technology Institute of AI for Social Good. He is a member of the Computer Science Advisory Committee of the National Council for Scientific and Technological Development, the Steering Committee of the International Network for Government Science Advice Latin American and Caribbean Chapter, the UK Expert Advisory Panel for the AI Safety Report and Chair of the Working Group on Machine Learning and Data Mining of the IFIP TC on AI.

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André Carlos Ponce de Leon Ferreira de Carvalho

André Carlos Ponce de Leon Ferreira de Carvalho

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André C P L F de Carvalho is Professor and Dean of the Institute of Mathematics and Computer Science, University of São Paulo, Brazil. He coordinates the Brazilian Applied AI Research Centre for Smart and Sustainable Cities IARA and the National Science and Technology Institute of AI for Social Good.

He is a member of the Computer Science Advisory Committee of the National Council for Scientific and Technological Development, the Steering Committee of the International Network for Government Science Advice Latin American and Caribbean Chapter, the UK Expert Advisory Panel for the AI Safety Report and Chair of the Working Group on Machine Learning and Data Mining of the IFIP TC on AI.

Eric Sutherland

Eric is a Senior Health Economist leading the OECD’s work in Digital Health, bringing together policy guidance for digital tools, integrated data, and responsible analytics including artificial intelligence. In that role, he is accountable for measuring and evolving the OECD’s Recommendation on Health Data Governance (2016) and supporting digital health policy that provides data protection (e.g. security and privacy) and timely access to quality data to optimize the use of data for information, insights, and impact among individuals, health workers, policy makers, researchers, and innovators.

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Eric Sutherland

Eric Sutherland

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Eric is a Senior Health Economist leading the OECD’s work in Digital Health, bringing together policy guidance for digital tools, integrated data, and responsible analytics including artificial intelligence. In that role, he is accountable for measuring and evolving the OECD’s Recommendation on Health Data Governance (2016) and supporting digital health policy that provides data protection (e.g. security and privacy) and timely access to quality data to optimize the use of data for information, insights, and impact among individuals, health workers, policy makers, researchers, and innovators.

Jai Ganesh Udayasankaran

Jai Ganesh Udayasankaran (Jai) is the Executive Director of the Asia eHealth Information Network (AeHIN), with over 20 years of experience in digital health, including hospital information systems, telemedicine, and chronic disease management platforms. He serves on the Board of the Global Digital Health Network (GDHN) and contributes to several international and national standards bodies, including ISO and the Bureau of Indian Standards. He is also an adjunct faculty member at Manipal Academy of Higher Education (MAHE), India. Jai regularly supports digital health workshops across South and South-East Asia and has contributed to various publications on digital health standards and practices.

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Jai Ganesh Udayasankaran

Jai Ganesh Udayasankaran

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Jai Ganesh Udayasankaran (Jai) is the Executive Director of the Asia eHealth Information Network (AeHIN), with over 20 years of experience in digital health, including hospital information systems, telemedicine, and chronic disease management platforms. He serves on the Board of the Global Digital Health Network (GDHN) and contributes to several international and national standards bodies, including ISO and the Bureau of Indian Standards. He is also an adjunct faculty member at Manipal Academy of Higher Education (MAHE), India.

Jai regularly supports digital health workshops across South and South-East Asia and has contributed to various publications on digital health standards and practices.

Judith Murungi

Judith Murungi is an Advocate of the High Court of Kenya and a research associate at the Young African Policy Research Hub. She was trained by the British Institute for International and Comparative Law on AI, Law, and Ethics. She also holds a diploma in internet governance and regulations from the University of Mendoza and has attended both the South School and African School on Internet Governance. Judith was named a 2025 Rising Star in AI Ethics by Women in AI Ethics. She has presented on legal and ethical concerns around AI in African health care systems at the International Pandemic Sciences Conference and the Oxford Global Health and Bioethics Conference. She serves on the Expert Group on Health and Mental Health at the World Federation of the Deaf and was awarded second-best oral presentation at the 8th World Conference on Research Integrity in Athens.

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Judith Murungi

Judith Murungi

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Judith Murungi is an Advocate of the High Court of Kenya and a research associate at the Young African Policy Research Hub. She was trained by the British Institute for International and Comparative Law on AI, Law, and Ethics. She also holds a diploma in internet governance and regulations from the University of Mendoza and has attended both the South School and African School on Internet Governance.

Judith was named a 2025 Rising Star in AI Ethics by Women in AI Ethics. She has presented on legal and ethical concerns around AI in African health care systems at the International Pandemic Sciences Conference and the Oxford Global Health and Bioethics Conference. She serves on the Expert Group on Health and Mental Health at the World Federation of the Deaf and was awarded second-best oral presentation at the 8th World Conference on Research Integrity in Athens.

Kevin Lampen-Smith

Kevin Lampen-Smith is a regulatory expert with experience across markets, occupational, health and safety and health systems. Experienced chief executive and senior leader with a focus on strategy development and activating key drivers to bring about real behavioural change. At the Ministry of Health in New Zealand, he focused on taking a system level perspective to regulatory design and delivery with the aim of aligning regulatory regime governance to delivering on whole of system outcomes.

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Kevin Lampen-Smith

Kevin Lampen-Smith

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Kevin Lampen-Smith is a regulatory expert with experience across markets, occupational, health and safety and health systems. Experienced chief executive and senior leader with a focus on strategy development and activating key drivers to bring about real behavioural change. At the Ministry of Health in New Zealand, he focused on taking a system level perspective to regulatory design and delivery with the aim of aligning regulatory regime governance to delivering on whole of system outcomes.

Kirsten Mathieson

Kirsten Mathieson has 20 years experience working in global health policy and advocacy. She is Deputy Director and Policy Lead at Transform Health, a global coalition of organisations that advocate, campaign and build consensus to strengthen the enabling environment for the digital transformation of health systems to achieve UHC. Working with coalition partners, Kirsten leads the policy and influencing work of the coalition, particularly on health data governance and digital health investment. Kirsten was previously Global Head of Policy and Advocacy at Save the Children, leading health and nutrition advocacy and policy efforts, with a focus on UHC, primary health care, immunisation and access to medicines. She is former Vice Chair of the Gavi CSO Steering Committee and member of the UK Action for Global Health network Steering Committee. Kirsten previously worked at the UN Food and Agriculture Organisation and UNDP Kenya.

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Kirsten Mathieson

Kirsten Mathieson

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Kirsten Mathieson has 20 years experience working in global health policy and advocacy. She is Deputy Director and Policy Lead at Transform Health, a global coalition of organisations that advocate, campaign and build consensus to strengthen the enabling environment for the digital transformation of health systems to achieve UHC. Working with coalition partners, Kirsten leads the policy and influencing work of the coalition, particularly on health data governance and digital health investment. Kirsten was previously Global Head of Policy and Advocacy at Save the Children, leading health and nutrition advocacy and policy efforts, with a focus on UHC, primary health care, immunisation and access to medicines. She is former Vice Chair of the Gavi CSO Steering Committee and member of the UK Action for Global Health network Steering Committee. Kirsten previously worked at the UN Food and Agriculture Organisation and UNDP Kenya.

Nadine Sabra

Nadine Sabra is the E-Sahha/Digital Health Program Manager at the Global Health Institute at the American University of Beirut, where she leads projects in artificial intelligence, e-health, and digital health. She oversees the implementation and operations of field-based initiatives focused on digital health, maternal health, and refugee health. Nadine also coordinates two regional initiatives: the Global Health and Artificial Intelligence Network in the Middle East and North Africa (GHAIN MENA) and the Responsible AI for Global Health (RAI4GH). She holds a doctor of pharmacy (PharmD) degree.

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Nadine Sabra

Nadine Sabra

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Nadine Sabra is the E-Sahha/Digital Health Program Manager at the Global Health Institute at the American University of Beirut, where she leads projects in artificial intelligence, e-health, and digital health. She oversees the implementation and operations of field-based initiatives focused on digital health, maternal health, and refugee health. Nadine also coordinates two regional initiatives: the Global Health and Artificial Intelligence Network in the Middle East and North Africa (GHAIN MENA) and the Responsible AI for Global Health (RAI4GH). She holds a doctor of pharmacy (PharmD) degree.

Peter Speyer

Peter Speyer is Head of Data & AI at the Novartis Foundation, focused on using AI to understand needs, predict risks, develop solutions, and innovate continuously towards precision population health and reducing inequities. Previously, Peter co-founded Novartis’ transformational data42 program which enables the use of the company’s deep pre-clinical, clinical, and real world data to accelerate and improve drug R&D. Prior to his work at Novartis, Peter was Chief Data & Technology Officer at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington in Seattle. He managed the data for the Global Burden of Disease (GBD) study and created IHME’s global public data catalog Global Health Data Exchange (GHDx) and innovative interactive data visualizations. Peter holds an MSc in Business & Engineering from the Karlsruhe Institute of Technology and an MBA from Temple University, Philadelphia.

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Peter Speyer

Peter Speyer

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Peter Speyer is Head of Data & AI at the Novartis Foundation, focused on using AI to understand needs, predict risks, develop solutions, and innovate continuously towards precision population health and reducing inequities. Previously, Peter co-founded Novartis’ transformational data42 program which enables the use of the company’s deep pre-clinical, clinical, and real world data to accelerate and improve drug R&D. Prior to his work at Novartis, Peter was Chief Data & Technology Officer at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington in Seattle. He managed the data for the Global Burden of Disease (GBD) study and created IHME’s global public data catalog Global Health Data Exchange (GHDx) and innovative interactive data visualizations. Peter holds an MSc in Business & Engineering from the Karlsruhe Institute of Technology and an MBA from Temple University, Philadelphia.

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