"As AI becomes embedded in healthcare, from data analysis to care delivery, it is reshaping how decisions are made. But who is represented in the data, who benefits from these systems, and who risks being left behind?
Bringing together perspectives from policy, technology, and healthcare, this session explores how to build truly equitable AI-driven systems. How do we address bias in data and algorithms? What role should public institutions, companies, and civil society play? And how do we move from principles of equity to measurable impact, ensuring AI strengthens, rather than fragments, access to care?"
