Artificial intelligence (AI) has been touted as holding the solutions to a variety of vexing challenges in healthcare, but is it possible that there's a downside to integrating what some might call an ungovernable technology into the clinical research arena? This session ponders the issue of who's making sure this power is being used to benefit everyone fairly.

Learning Objectives:

Analysis of the potential of AI and big data in clinical research in a balanced way - both benefits and harms.
Understanding and comprehension of inclusivity in the AI and big data space, as well as recommendations for practical check points to evaluate whether progress is on track to solve health inequity or add to it.
Discussion and areas for additional thought and research as AI is rolled out and used more routinely across our sector.

Heidi Green PhD

Appearances