Earning Trust for AI in Health: A Collaborative Path Forward

The report highlights the mismatch between traditional, static medical regulatory frameworks and the dynamic, probabilistic nature of AI. It proposes a pragmatic approach combining baseline legislation with flexible guidelines, regulatory sandboxes, and continuous post-market surveillance. The authors emphasize that public-private partnerships (PPPs) are essential for co-developing standards and building technical capacity, particularly in the Global South, to prevent regulatory fragmentation from hindering the global deployment of health AI.

• Traditional healthcare regulatory frameworks, designed for static products like pharmaceuticals and medical devices, are inadequate for AI because they cannot manage the probabilistic and evolving nature of these technologies.
• There is a significant global divergence in AI regulation, with the Global North implementing structured frameworks like the EU AI Act, while the Global South often faces fragmented and under-resourced governance, creating barriers to scaling AI health technologies.
• To maintain innovation while ensuring safety, the report recommends a multi-layered governance approach using legislation as a baseline, complemented by flexible guidelines and regulatory sandboxes for controlled testing.
• Post-market surveillance and life-cycle monitoring are critical for AI in health because the accuracy and performance of these systems can change after they are deployed.
• Public-private partnerships (PPPs) should move beyond simple consultation to the active co-development of evaluation standards and the operationalization of regulatory processes.
• There is an urgent need to build technical literacy and capacity among healthcare leaders and regulators so they can critically assess and integrate AI solutions.

APA

World Economic Forum (2025). Earning Trust for AI in Health: A Collaborative Path Forward. https://reports.weforum.org/docs/WEF_Earning_Trust_for_AI_in_Health_2025.pdf

Chicago

World Economic Forum. Earning Trust for AI in Health: A Collaborative Path Forward. 2025. https://reports.weforum.org/docs/WEF_Earning_Trust_for_AI_in_Health_2025.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Earning Trust for AI in Health: A Collaborative Path Forward |date=June 2025 |url=https://reports.weforum.org/docs/WEF_Earning_Trust_for_AI_in_Health_2025.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2025earning, author = {{World Economic Forum}}, title = {{Earning Trust for AI in Health: A Collaborative Path Forward}}, institution = {World Economic Forum}, year = {2025}, month = jun, url = {https://reports.weforum.org/docs/WEF_Earning_Trust_for_AI_in_Health_2025.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }