Earning Trust for AI in Health 2025

Images: Getty Images Contents Foreword 3 Executive summary 4 Introduction 5 1 Empowering trustworthy AI in health: The urgent need for collaboration 7 1.1 Global divergences challenge the scaling of AI in health 8 1.2 The private sector is key to driving progress and standardization 8 1.3 AI regulations must be crafted to keep pace with innovation 9 2 The need for a pragmatic approach: Guidelines, sandboxes and 10 post-market surveillance 2.1 Legislation can build a strong baseline for governing AI in health 10 2.2 Sandboxes provide a safe space in which the private 11 sector can innovate 2.3 Post-market surveillance can help cope with 12 the evolving nature of AI 3 The importance of public–private partnerships for AI in health 13 3.1 The role of public–private partnerships in regulating 13 medical devices, including software 3.2 Private-sector capabilities can help test and 13 operationalize the regulatory process 3.3 Quality assurance resources: An approach to PPPs 15 for independent testing and training Conclusion 16 Appendix: A selection of regulatory sandbox inititatives 17 Contributors 18 Acknowledgements 18 Endnotes 19 Disclaimer This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders. © 2025 World Economic Forum. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system. Earning Trust for AI in Health: A Collaborative Path Forward 2