Ethics, Uncertainty, and Artificial Intelligence in Medicine
Abstract
Uncertainty is pervasive in medicine and how to address it in a responsible manner is a fundamental ethical concern. Recent advances in artificial intelligence (AI) have sparked considerable interest in using new technologies to better address uncertainty and to promote safer, more effective, more efficient, and more equitable health services. This talk considers some of the unique challenges to realizing this vision that arise at key choice-points across the lifecycle of AI development and deployment.
About the speaker
Alex John London, Ph.D., is the K&L Gates Professor of Ethics and Computational Technologies and Director of the Center for Ethics and Policy at Carnegie Mellon University. He is co-leader of the K&L Gates Initiative in Ethics and Computational Technologies, and Chief Ethicist at the Block Center for Technology and Society at Carnegie Mellon University. An elected Fellow of the Hastings Center, Professor London’s work focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine, biotechnology and artificial intelligence. He is widely published on these topics and consults internationally on policy development for ethical research and innovation.
