The HealthAI Global Governance Forum: A growing dialogue.
Global Governance Forum 2025 Highlights
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.
The inaugural Forum brought together over 240 participants from more than 50 countries across in-person and virtual formats. Participants included policymakers and regulators, international organizations, industry, academia, civil society, and youth, reflecting a deliberately inclusive and cross-sector dialogue.
The 2025 edition focused on building trust as a prerequisite for scaling AI responsibly in health systems. Discussions across keynotes, panel discussions, and workshops examined AI regulatory oversight, data governance, and context-specific implementation, with particular attention to challenges in low- and middle-income countries.
With its emphasis on practical exchanges, the inaugural HealthAI GGF marked a first step toward establishing a sustained global platform for collaboration, learning, and action centered on AI governance in health.
Highlights of the 2025 Edition in Nairobi
Our 2025 Program at a Glance
The HealthAI Global Governance Forum brought together high-level voices and experts shaping the governance of AI in health. The program started with keynote addresses from H.E. Ambassador Philip Thigo (Kenya), Dr. Delese Mimi Darko (African Medicines Agency), Dr. Abhishek Singh (National Informatics Centre and Ministry of Electronics and Information Technology, India), and Ms. Camilla Ravnsborg Aschjem (Norwegian Embassy for Kenya and Somalia), alongside senior officials from Ministries of Health and regulatory authorities participating in HealthAI’s Global Regulatory Network.
The program reflected a truly global dialogue, bringing together perspectives from across regions and institutions engaged in shaping AI governance in health.
Session 1: Strengthening Health Data Governance for Responsible AI in Health: Aligning Agendas for Ethical, Equitable and Effective Data Use
1h15m | Panel Discussion | Operationalizing Principles
Health data is the foundation for AI systems in health, but how it is governed determines whether innovation serves the public good. This session brought together national leaders, industry and global experts, and community voices to explore how countries can build stronger, more inclusive frameworks for data governance. It highlighted emerging tools, policies, and initiatives that are advancing responsible data use and driving convergence between technical, ethical, and political approaches.
Participants examined how aligning data and AI governance can accelerate the operationalisation of global principles and strengthen legislative and regulatory systems. Through country experiences and lived realities, the session spotlighted pathways for regional and global cooperation on secure, ethical, and equitable data use. It also included approaches for fair data sharing and cross-border collaboration that leave no one behind.
Panelists:
Mathilde Forslund: Transform Health (led by)
Eric Sutherland: OECD
Shweta Bhardwaj: Johnson & Johnson
Garrett Mehl: World Health Organization
Session 2: From Voice to Action: Youth-Led Approaches for Inclusive AI in Health
1h15m | Workshop | Stakeholder Engagement
Young people are among the most affected by digital transformations in health, yet their voices are rarely integrated into AI governance. This session spotlighted how youth can become co-creators of equitable and rights-based AI systems, rather than passive recipients of their outcomes. The keynote highlighted global youth-led initiatives, showing how medical students and emerging leaders are building AI literacy, ethical awareness, and governance capacity from the ground up.
Building on this, the workshop introduced a practical method for embedding youth health, rights, and participation into AI governance structures. Through collaborative exercises, participants explored what it means to design oversight mechanisms that centre care, intergenerational equity, and meaningful participation, helping reimagine the future of AI in health through the eyes of the next generation.
Speakers:
Kana Halić Kordić: International Federation of Medical Students’ Associations – IFMSA
Shajoe Lake: Digital Transformations for Health Lab (DTH-Lab) – Research Fellow.
Jai Ganesh Udayasankaran: Asia eHealth Information Network (Session Host)
Session 3: Scaling Responsible AI for Health: Lessons from the Frontlines
1h15m | Flash talks + dialogue with innovators | Scaling Responsible Use of AI in Health
Scaling AI in health goes far beyond technology, it requires trust, equity, and the ability to adapt solutions to diverse real-world contexts. This session highlighted pioneering initiatives from across the globe that are translating responsible AI principles into tangible impact on the ground. From mental health and maternal care to diagnostics and disease surveillance, these examples demonstrate how ethical design, community participation, and context-sensitive innovation drive meaningful adoption.
Through a series of practical case reflections, participants explored with the innovators what it takes to scale responsibly: from inclusive data practices and equitable partnerships to governance mechanisms that ensure accountability as innovations grow. The session offered a real-world view at how health systems and innovators can bridge the gap between experimentation and sustainable, trustworthy AI integration at scale.
Speakers:
Aryan Chaudhary: BioTech Sphere Research , India | Unit of NeoNexus Healthcare Pvt Ltd
Ahmad Watsiq Maula: Universitas Gadjah Mada (UGM)
Nadine Sabra: Global Health Institute, American University of Beirut
Prithviraj Pramanik: George Institute for Global Health
Shubs Upadhyay: Global Perspectives on Digital Health Podcast
Valentine Kamau: AI Health beat Africa Podcast
Session 4: Positioning AI Governance in National Health Strategies: From Global Lessons to Hands-On Practice
1h15m | Workshop | Capacity Strengthening
This session explored how countries can effectively translate global AI governance frameworks into national health strategies that reflect local needs and realities. Keynotes presented regional perspectives: a keynote examined how AI safety frameworks such as the EU AI Act, NIST, and China’s models can be adapted to the Global South, followed by a presentation that shared lessons from applying a regional maturity model to benchmark AI adoption and governance in Latin America and the Caribbean.
In the second half, an interactive exercise led by Amp Health brought these insights into practice. Participants worked collaboratively through a real-world AI use case, simulating how ministries of health can co-develop governance frameworks that safeguard safety, inclusion, and sustainability – bridging the gap between global principles and national implementation.
Speakers:
Fernando Bonilla Sinibaldi: RECAINSA
Karthik Adapa: WHO South East Asia Regional Office
Shola Dele-Olowu: Amp Health
Kirsten Mathieson: Transform Health (Session Host)
Session 5: Innovative Pre-Market Approaches to Validate and Regulate AI in Health
1h15m | Panel Discussions | Scaling Responsible Use of AI in Health
AI is transforming how health technologies are developed and deployed, challenging traditional approaches to validation and regulation. This session explored how regulators around the world are adapting Software as Medical Device (SaMD) regulations to keep pace with fast-moving innovation while safeguarding safety, effectiveness, and trust. Drawing on diverse national experiences, it examined how adaptive and risk-based approaches can help ensure AI systems meet rigorous standards without stifling progress.
Participants also learned about emerging tools and frameworks that enable innovation within safe boundaries, from living labs and regulatory sandboxes to cognitive trust models and evolving health technology assessment methods. The discussion shed light on how forward-looking regulatory ecosystems can foster continuous learning, strengthen confidence in AI applications, and support responsible adoption at scale.
Speakers:
Adriana Banozic: Nanyang Technological University, School of Social Sciences, PPGA
Natasha Motsi: Medicines and Healthcare Products Regulatory Agency
Paul Campbell: HealthAI
Rado Andrian: HealthAI
Raymond Chua: Health Sciences Authority
Stephen Gilbert: TU Dresden
Session 6: Participatory AI Governance: Civil Society Voices and Global Principles
1h15m | Workshop | Stakeholder Engagement & International Cooperation
Inclusive governance is a cornerstone of human rights, yet participation from civil society remains limited in the development and oversight of AI for health. This session explored how lessons from past global health movements and current grassroots experiences can inform more accountable and people-centred AI governance. It highlighted how community-led approaches have successfully reshaped health systems by demanding transparency, representation, and equity, principles that are transferable to the governance of AI.
Building on these insights, participants engaged in an interactive dialogue to co-develop shared principles for the responsible adoption of AI in health. The exercise invited diverse perspectives to refine a global declaration, helping ensure that future AI frameworks are grounded in rights, inclusion, and the lived realities of those most affected by technological change.
Speakers:
Eric Sutherland: OECD (presenter and session host)
Rajnish Prasad: UN Women
Sara (Meg) Davis: University of Warwick
Session 7: Role of Non-State Actors in Advancing AI Governance in Health
1h15m | Panel Discussions | Stakeholder Engagement
While AI’s potential to benefit health and advance global well-being is immense, realizing these benefits depends on fostering multi-stakeholder ecosystems to promote innovation and adoption of safe and effective AI solutions. If not developed responsibly, AI can endanger patients, transgress privacy, and increase global healthcare disparities. To overcome AI’s potential risks, local and global policymakers must establish policies and governance mechanisms to safeguard AI’s integration into healthcare, but they must be responsive to societal and global considerations, and agile enough to adapt to technological changes.
This session sought to explore how non-state actors can contribute to advancing Responsible AI in health ecosystems, which will promote investments, foster innovations and build trust, with agile and effective regulations. It brought together global thought leaders, international organizations, academia, civil society and the private sector to engage in an open dialogue on the role of each sector in advancing AI governance in health.
Panelists :
Amanda Leal: HealthAI (led by)
Agnes Kiragga: APHRC
Caroline Mbindyo: AMREF
Christian Wickert: Merck KGaA
Kathryn Toure: IDRC
Session 8: When AI in Health Fails: A Framework for Detection, Diagnosis and Response
1h15m | Workshop | Operationalizing Principles
As AI systems become deeply integrated into clinical workflows, new types of failures—technical, functional, and clinical—pose complex risks to patient safety and public trust. This session reimagined how health systems can move beyond traditional regulatory models to detect, diagnose, and respond to these failures in real time. It explored how continuous monitoring, post-market surveillance, and performance audits can strengthen oversight of adaptive AI while preserving the agility needed for innovation.
Participants worked through a practical framework for identifying early warning signals, diagnosing root causes, and implementing transparent, system-level responses when AI tools underperform or malfunction. By applying structured audit and learning processes to a real-world case study, the session offered concrete pathways to ensure that AI in health remains safe, accountable, and resilient throughout its lifecycle.
Led by:
David Lowe: Centre for Excellence in Regulatory Science and Innovation in AI & Digital Health
Aditya Kale: Centre for Excellence in Regulatory Science and Innovation in AI & Digital Health
Networking and Global Exchange
The HealthAI Global Governance Forum brought together people from around the world who are shaping how AI is used in health—regulators, policymakers, researchers, innovators, and civil society alike. Beyond the sessions, the day was designed to make real connections possible, giving participants the chance to share experiences, compare approaches, and spark new collaborations across borders.
Conversations continued throughout coffee breaks and lunch, and carry into the evening with a closing cocktail reception. It was an opportunity to unwind, exchange ideas in a more informal setting, and strengthen the relationships that make this global community so dynamic.
Speakers
Road to AI Impact Summit 2026
The HealthAI Global Governance Forum was an official Pre-Summit Event of the AI Impact Summit 2026. Following the Forum, the HealthAI team will also contribute to the main Summit with a dedicated session focused on advancing adaptive governance and responsible health technology assessment to support safe, trusted, and scalable AI in health, particularly in the Global South.