Earning Trust for AI in Health: A Collaborative Path Forward
Earning Trust for AI in Health: A Collaborative Path Forward was developed by the World Economic Forum and Boston Consulting Group to outline a collaborative path for earning trust in artificial intelligence for health. While AI offers significant potential to improve health outcomes and health system performance, its evolving nature challenges existing practices, policies and regulatory models.
Earning Trust for AI in Health: A Collaborative Path Forward was developed by the World Economic Forum and Boston Consulting Group to outline a collaborative path for earning trust in artificial intelligence for health. While AI offers significant potential to improve health outcomes and health system performance, its evolving nature challenges existing practices, policies and regulatory models.
The report identifies three urgent priorities for scaling AI in health: strengthening technical capacity among regulators, health leaders and innovators; adapting regulatory models using guidelines, regulatory sandboxes and post-market surveillance; and mobilizing public–private partnerships to co-develop standards, support regulatory innovation and establish independent quality assurance mechanisms.
Without coordinated and inclusive action, fragmented approaches risk delaying innovation and reinforcing inequities. Embedding trust is essential for realizing AI’s full value for resilient and equitable health systems.