The HealthAI Global Governance Forum – Scaling Responsible AI in Health: From Trust to Implementation

HealthAI GGF 2026 will open with keynote speakers, setting the scene for this year’s Forum and highlighting key challenges and opportunities in scaling responsible AI for health. A GRN panel discussion will then bring members’ reflections to the forefront, followed by the beta launch of HealthAI’s Global Public Directory, a new resource showcasing registered AI solutions in healthcare across selected GRN countries. Together, the session will set the tone for the Forum while introducing one of HealthAI’s key initiatives to the wider public.

Keynote Speakers:

• Dr Ricardo Baptista Leite –  CEO, HealthAI
• Dr Jennifer Dixon – CEO, The Health Foundation
• Mr Lawrence Tallon – CEO, Medicines and Healthcare products Regulatory Agency (MHRA)

GRN Panel Discussion:

• Government representatives from Singapore, India, Zambia, Vietnam, Peru
• Global Public Directory Soft Launch

Global Public Directory Beta Launch

• Mr. Rado Andrian, Director of AI, HealthAI

Evaluating AI in healthcare requires contributions from developers, clinicians, regulators, health technology assessment bodies, healthcare leaders, researchers, program evaluators and communities. Yet, these groups often work in silos, assess different stages of the AI lifecycle and use the same terms in different ways. 

The HealthAI’s Working Group on AI Evaluation and Validation in Healthcare have used structured debate to examine terms, including “human-in-the-loop,” “performance metric,” and “clinical evaluation.” Each term is considered from five perspectives: manufacturer or developer, regulator, policymaker or health-system decision-maker, clinician, and program evaluator. This process delineates how meanings, priorities, and assumptions shift across roles and contexts. The aim is not always to produce a single universal definition, but to tease out nuances and build a shared understanding.

This work complements global initiatives such as the International Organization for Standardization (ISO)’s work on Terminology and Concepts for AI in Health. The session will use an interactive example to show how shared language can help bridge silos, strengthen evidence and support more comprehensive and context-sensitive evaluation.

Participating Organisations:

• Vitus Consulting, Spain
• OECD, France
• Vital Strategies, South Africa

Thematic Area: Strengthening Human Awareness and Literacy for Responsible AI in Health

AI presents governments with both an opportunity and a challenge: how to move beyond experimentation and make informed choices about where, how and at what scale it can improve health systems. This session brings together practical experiences from national, regional and health-system levels, exploring how governments can prioritise AI use cases, evaluate and procure solutions, build effective governance, develop workforce capacity and collaborate across borders. Short presentations will set the scene, and be accompanied by a panel discussion with all 4 presenters on how governments should approach the procurement of AI solutions for their health systems.

Participating Organisations:

• Tony Blair Institute for Global Change, UK
• Government of Andhra Pradesh, India
• ORAS-CONHU, Peru
• Emirates Health Services, UAE

Thematic area: Making AI Governance Principles and Frameworks Work in Practice

Meaningful multi-stakeholder engagement is essential to building trusted, accountable and responsible AI. The session explores approaches to embedding patient voices through a Patient Engagement in Digital Health Roadmap, and strengthening accountability throughout the total product lifecycle across various stakeholder groups. Two short presentations will be followed by an interactive AI Governance and Readiness Walk addressing practical realities such as accountability, human review and appeal mechanisms, leadership support, explainability, fairness and confidence in challenging AI recommendations. As participants move, the room becomes a visual representation of different governance and readiness positions, allowing us to to identify practical enablers for collaborative AI governance.

This session will include:

• Patient Focused Medicines Development (PFMD), Belgium
• Project Concern International (PCI), India
• Swiss TPH, Switzerland

Thematic area: Meaningful Multi-Stakeholder Engagement to Advance Trust in AI in Health

Moving an AI innovation from a promising pilot to sustainable impact requires more than technical performance. This session explores the practical drivers of responsible scaling, including contextual evidence, sustainable infrastructure and financing, workforce readiness, trust and engagement, governance, and integration into real-world workflows. Drawing on examples from Africa, Asia, Europe and beyond, the session will examine what enables innovations to move from experimentation to safe, trusted and sustainable adoption. Blocks of short talks will be accompanied by fireside chats with the innovators to extract out enablers and challenges of scaling AI innovation in health. The audience will also be engaged to provide their reflections through a digital platform.

Participating Organisations:

• The South African Consortium of Air Quality Monitoring, South Africa
• Nordic Wellbeing Academy, Denmark
• Qure.ai, India
• Makerere AI Health Lab, Uganda
• Visual Thinking, Portugal
• Johnson & Johnson, USA

Thematic area: Drivers for Scaling Responsible AI Innovation in Health

As AI moves into real-world clinical settings, effective monitoring is essential to ensure that systems remain safe, effective and fit for purpose over time. This interactive workshop introduces different approaches to AI monitoring, followed by a role-play in which participants design a monitoring system for a large, multi-site healthcare organisation. The session concludes with a real-world case study from Tandem Health, illustrating post-market surveillance and monitoring of its Ambient Voice Transcription (AVT) technology in practice.

Participating Organisations:

• CERSI-AI, UK
• Tandem Health, Sweden

Thematic area: Making AI Governance Principles and Frameworks Work in Practice

AI is challenging traditional approaches to regulatory decision-making and evidence generation, requiring health systems to find ways to assess technologies efficiently without compromising safety or trust. This session begins with a presentation from THF on opportunities for collaborative efforts to establish the evaluation architecture necessary for robust rapid real-world evaluation of AI applications in healthcare.  This will be followed by a panel discussion with regulators to explore regulatory innovation needed for increasingly autonomous AI systems, regulatory reliance for AI-enabled medical devices, as well as the use of AI for regulation. Together, the session will discuss how evaluation and regulatory pathways can evolve to support timely, evidence-informed adoption of AI.

Participating Organisations:

• The Health Foundation, UK 
•  HealthAI’s Global Regulatory Network

Thematic area: Making AI Governance Principles and Frameworks Work in Practice

As AI becomes increasingly embedded across sectors and borders, questions of sovereignty, control and accountability are becoming ever more important. Who should shape AI, who holds decision-making power, and who is ultimately accountable for its impacts are questions increasingly being asked by our societies. Following a grounding presentation, this fishbowl discussion will start off by unpacking terms such as sovereignty, rights and accountability, before exploring topics on digital resilience, data provenance, consent, collective authority, privacy requirements, contestability, and redress. The aim will be to bring diverse perspectives into an open and participatory debate and distill key emerging themes.

Participating Organisations:

• Nottingham Trent University, UK
• Transform Health, Switzerland
• Government of Oman
• Government of Estonia
  
• Makerere University Walter Reed Program, Uganda

Thematic area: Navigating AI, Data, and Digital Sovereignty in Health

AI is rapidly transforming healthcare, strengthening AI awareness and literacy becomes essential for safe, equitable and responsible adoption. This session begins by showcasing the development of a competency- based curriculum for Responsible AI in health for low-resource settings, through an evidence synthesis and participatory co-design methodology, for health system actors. This is then followed by a presentation of the Modular and Stratified Healthcare AI Literacy Framework (M-SHALF), developed by Harvard Law School for healthcare organizations to implement role-specific AI literacy programs. The session concludes with an interactive workshop demonstrating how AI literacy can be gained through a conversational learning experience.

Participating Organisations:

• Global Health Institute at the American University of Beirut, Lebanon
• Harvard Law Schoo, USA 
• Romion Health, The Netherlands

Thematic area: Strengthening Human Awareness and Literacy for Responsible AI in Health

Health technology assessment (HTA) can play a critical role in helping health systems determine whether AI technologies deliver meaningful value and under what conditions they should be adopted. This session brings together country experiences from ACE, NICE and NHRDC, followed by a short panel exploring how different health systems are adapting HTA approaches for AI. The session will then soft-launch HealthAI’s HTA Blueprint, followed by a fireside chat with HTAi on the future of HTA for AI and how global approaches can support evidence-informed, responsible adoption, including in low-resource settings.

Participating Organisations:

• LATAM HTA, Colombia
• NICE, UK
• PNHRDC, People’s Republic of China
• HealthAI, Switzerland
• HTAi, Canada

Thematic area: Making AI Governance Principles and Frameworks Work in Practice

Responsible AI principles are increasingly well established, but translating them into coordinated action remains a challenge for countries and health systems. This interactive panel session explores how international alignment and regional collaboration can help bridge the gap between guidance and implementation, drawing on the Expert-led Madrid Action Plan (EL-MAP) and the experience of regional digital health networks across Asia, Africa, the Pacific and Latin America and the Caribbean. Through facilitated dialogue, live polling and cross-regional perspectives, participants will help identify practical priorities, implementation needs and opportunities for stronger collaboration to enable safe, equitable and sustainable AI at scale.

Participating Organisations:

• OECD, France
• CHAI, USA
• The Health Foundation, UK
• HealthAI, Switzerland
• RECAINSA, Guatemala
• Global Digital Health Network (GDHN), USA
• Asia eHealth Information Network (AeHIN), India
• Pan African Health Informatics Association (HELINA), Tanzania
• Pacific Health Information Network (PHIN), Samoa

Thematic area: Making AI Governance Principles and Frameworks Work in Practice

AI is increasingly becoming part of how people enter, navigate and experience healthcare, challenging traditional approaches to health system governance. This interactive panel will explore what it means to reframe the patient journey as a practical unit of governance, bringing together perspectives on trust, accountability, community readiness and shared responsibility. The discussion will move from the overarching governance challenge to practical examples from Nigeria, India and Bangladesh, examining what can be learned from different social and cultural contexts, and how health systems can build trust through governance approaches that are inclusive, adaptive and fit for purpose.

Participating Organisations:

• The University of Alabama, USA, UK, Denmark
• Baraka Finance Institute, Portugal
• Movement Health, Denmark
• Call Off Cancer Initiative, Nigeria
• Centre for Sustainable Health Innovations, Public Health Foundation, India

Thematic area: Meaningful Multi-Stakeholder Engagement to Advance Trust in AI in Health

The Health Foundation has conducted UK national polling and deliberative research on public attitudes to technology and AI as part of the National Commission into the Regulation of AI in Healthcare. Polling has suggested that the public recognizes the potential benefits of AI in healthcare but expect cereal safeguards around its use. Public trust and confidence will depend not simply on what people think of the technology itself but whether it has been introduced safely, fairly and in an accountable manner. Ultimately safety, effectiveness and accountability matter the most. With our Forum participants, selected questions from the national polling will presented to them to seek their opinions throughout the day. The results of the Forum poll will be presented side by side the national poll findings as THF presents their work.

Participating Organisations:

• The Health Foundation
• HealthAI