The HealthAI Global Governance Forum – Scaling Responsible AI in Health: From Trust to Implementation
Introduction
The HealthAI Global Governance Forum brings together the people shaping AI in health to turn shared principles into practical, inclusive and globally relevant governance action.
In 2026, participants from across government, health systems, academia, industry, civil society and communities will come together in London to explore how responsible AI can be governed, adopted and scaled safely, equitably and effectively in real health systems.
Through practical discussion, shared learning and collaboration, participants will help shape approaches that move responsible AI from trust to implementation.
About the Forum
The Global Governance Forum (HealthAI GGF) is our annual flagship event for the global community working at the intersection of health, responsible AI and governance.
The inaugural Forum took place in Nairobi in 2025. More than 240 participants joined across in-person and virtual formats, representing more than 50 countries. Policymakers, regulators, international organizations, industry, academia, civil society and young people contributed to an inclusive, cross-sector dialogue.
The 2025 program explored trust as a foundation for responsible AI in health. Keynotes, panels and workshops addressed regulatory oversight, health data governance and implementation in diverse contexts, with particular attention to the priorities of low- and middle-income countries.
In 2026, the Forum will build on this foundation by focusing on the policies, capabilities, infrastructure and partnerships needed to move responsible AI from principle to practice.
What to Expect in 2026
Our 2026 Thematic Areas
The program will reflect a global dialogue, drawing on experience from different regions, institutions and health systems. Five thematic areas will guide the Forum.
Thematic Area 1: Strengthening Human Awareness and Literacy for Responsible AI in Health
Responsible adoption depends on people having the knowledge and practical skills to govern, develop, use and assess AI. This theme will explore how to strengthen AI literacy among health professionals, policymakers, regulators, patients and the public while maintaining an inclusive and person-centered approach.
Questions to be examined include, but not limited to:
What are and how do we best develop the foundational competencies, including practical skills, for healthcare professionals, policymakers and regulators?
How can academic curricula and lifelong learning programmes be adapted to prepare and support the current and future health workforce for an age of AI?
How can we ensure patients and the public have the awareness and critical AI literacy needed to use AI tools safely and make informed health decisions, particularly in underserved communities?
Thematic Area 2: Meaningful Multi-Stakeholder Engagement to Advance Trust in AI in Health
Trust grows when the people affected by AI can participate meaningfully in its design, deployment and governance. This theme will examine mechanisms that bring health professionals, patients, civil society, young people, academia, government and industry into sustained and accountable collaboration.
Questions to be examined include, but not limited to:
How to embed shared accountability throughout the Total Product Lifecycle of AI through meaningful multi-stakeholder (i.e., healthcare sector, patient groups, civil society organisations, young people, academia, government, and the private sector) collaboration?
How can we empower stakeholders to participate actively in the development of AI policies and regulations?
How to make multi-stakeholder mechanisms equitable, sustainable and effective?
Thematic Area 3: Drivers for Scaling Responsible AI Innovation in Health
Moving from successful pilots to sustained implementation requires more than strong technology. This theme will focus on four connected drivers of scale: health data stewardship, digital infrastructure, sustainable financing and clear implementation pathways.
Questions to be examined include, but not limited to:
How can countries curate and steward high-quality, representative health data to support equitable AI and reduce bias, discrimination, and data invisibility?
What digital infrastructure and enabling conditions are needed to support the responsible development, adoption and scale-up of AI in health?
What financing, investment, procurement and reimbursement mechanisms can enable the sustainable development, adoption, and scale-up of responsible AI in health?
What can we learn from existing deployments of responsible AI innovations at scale?
Thematic Area 4: Making AI Governance Principles and Frameworks Work in Practice
Principles and frameworks matter when they lead to clear, workable processes. This theme will explore how governance can support authorization, certification, safety monitoring, market access and evaluation while enabling responsible innovation across different health system contexts.
Questions to be examined include, but not limited to:
How should market authorization processes adapt in the face of continuous learning and frontier AI applications in health, including the use of agentic AI?
How can market access procedures, particularly pricing and reimbursement models, be implemented to support wide scale adoption of AI in health?
How can post-market surveillance mechanisms be strengthened to establish continuous, real-world evidence on AI performance and safety at scale?
How can greater global alignment of AI governance frameworks reduce regulatory fragmentation while enabling countries to respond to their own health system priorities and contexts?
How should governance frameworks address AI tools used for health that fall outside traditional medical device regulation, including consumer-facing and general-purpose AI?
Thematic Area 5: Navigating AI, Data, and Digital Sovereignty in Health
AI systems, infrastructure and data ecosystems are concentrated in a small number of countries and companies. In health, this can create dependencies that affect patient data, clinical decisions, critical infrastructure and national priorities. This theme will explore how countries can benefit from global innovation while protecting autonomy, rights, security and resilience.
Questions to be examined include, but not limited to:
How can countries leverage global AI innovation while strengthening AI, data, and digital sovereignty, reducing critical dependencies, and retaining control over strategic health decisions?
As AI takes on a larger role in clinical decisions, what rights and mechanisms give patients control over their data and a real ability to understand, contest, or refuse AI-mediated care?
What governance, regulatory and cybersecurity mechanisms are needed to safeguard AI, data, and digital sovereignty while enabling the safe, interoperable, auditable, and scalable use of AI in health systems?
2026 Scientific Advisory Committee Members
Ahmed Binesmael
Ahmed leads the Health Foundation’s research exploring public and staff attitudes towards AI, technology and data use in health care, with a broader interest in how existing and emerging technologies can be implemented responsibly and effectively to improve care, support patients and staff, and inform health policy and wider system transformation. Prior to joining the Health Foundation, Ahmed was a Senior Policy Adviser at the British Medical Association, where he developed costed policy proposals aimed at influencing government policy and supporting doctor-led health policy initiatives, including modelling the cost of pay restoration for doctors. His wider research and analysis have also contributed to policy work across digital infrastructure, pensions, public health, general practice, and long COVID.
View BioEd Middleton
Ed is a healthcare policy and strategy professional with experience across NHS leadership, central government, and frontline clinical care. Before joining the MHRA, Ed completed a Harkness Fellowship at Stanford University, researching AI regulation and post-deployment monitoring. Prior to that, Ed was Director of Policy and Portfolio at Guy’s and St Thomas’ NHS Foundation Trust, where he led the development of a five-year strategy and oversaw major programmes spanning digital transformation, AI deployment and population health. He previously worked at the centre of government, including at DHSC and 10 Downing Street, and began his career as a physician. Ed was named a 2025 National Academy of Medicine Emerging Leader. Alongside his role at the MHRA, he will continue his US-based research into the responsible use of AI in healthcare.
View BioEric Sutherland
Eric is a Senior Health Economist leading the OECD’s work in Digitalisation of Health, bringing together policy guidance for digital security, 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 policy for digitalisation of health 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.
View BioJudith Murungi
Judith Murungi is a Global Health Lawyer and an Advocate of the High Court of Kenya with expertise at the intersection of health law, international human rights, and emerging technologies. She holds an LL.M. in National and Global Health Law from Georgetown University and has a diploma in internet governance and regulations from the University of Mendoza. She has attended the Kenya, African, and South Schools on Internet Governance which have shaped her global perspectives on technology regulation. She is also trained in AI, Ethics and the Law by the British Institute for International and Comparative Law. Judith serves on the Ad Hoc Committee on Artificial Intelligence of the World Federation of the Deaf (WFD) and was recognized as a Women in AI Ethics Rising Star (2024). She has expertise in the regulation and governance of AI in healthcare, and has presented her work at the International Pandemic Sciences Conference. She was recognized for the second best oral presentation at the 8th World Conference on Research Intergrity in 2024. Her interdisciplinary expertise in health law, AI governance, and digital policy equips her to contribute effectively to scientific and policy advisory processes globally.
View BioKevin 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.
View BioKirsten 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.
View BioNadine 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.
View BioPaula Eugenia Kohan
Paula Eugenia Kohan is a lawyer, mediator, and researcher specializing in digital health, artificial intelligence, and health regulation. She works as a consultant for PAHO, UNESCO, and CLIAS-IECS. She was co-coordinator of the Postgraduate Program in Digital Health at the University of Buenos Aires, where she currently lecture on Artificial Intelligence and Law. She also serves as a trainer in the international course “Digital Health: Planning National Systems” led by WHO, PAHO, and TechChange. Her work focuses on ethical, human-centered regulatory frameworks for the responsible integration of AI into health systems across Latin America
View BioShweta Bhardwaj
Shweta Bhardwaj is Director, Global R&D & Digital Policy, Worldwide Govt. Affairs & Policy (WWGA&P), Johnson & Johnson. Her focus and expertise include AI policy & regulation, health data governance, cybersecurity, interoperability, and government regulation of new technologies that enable more efficient and accelerated R&D. Within J&J, Shweta partners globally with R&D, data science, privacy, information security, law department and regulatory teams. Externally, she is involved in shaping AI, digital health and health data governance issues, through trade associations such as Global Data Alliance (GDA), BIO, AdvaMed, APACMed, MedTech EU (Vice chair, Digital Health) and IFPMA. She also represents J&J externally within international forums as Member, B20 South Africa Digitalization Task Force and Member, Expert Working Group on Health Data, Asia Pacific Economic Cooperation (APEC). Shweta holds MSc. in Global Health & Public Policy from the University of Edinburgh (as a commonwealth scholar). In her previous roles, she has worked within MedTech industry, WHO and international non-profits. She is passionate about social impact and engages in J&J’s flagship Talent-for-good programs, which address critical areas in healthy equity, access & social determinants of health.
View BioEvent Venue
The GGF will take place at Events @ No 6 in London
Events @ No 6 is located at 6 Alie Street, London E1 8QT, United Kingdom, close to Aldgate and Aldgate East Underground stations.
Detailed timings, accessibility information and travel guidance will be shared with confirmed participants before the Forum.
Our Strategic Partners
The HealthAI Global Governance Forum 2026 is organized thanks to the meaningful contribution by our two strategic partners, The Health Foundation and the United Kingdom’s Medicines & Healthcare products Regulatory Agency (MHRA).