Listen "Automation Bias and Short Cuts in Clinical AI Models"
Episode Synopsis
Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care. Related Content: Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical Models
More episodes of the podcast JAMA+ AI Conversations
AI, Health, and Healthcare
13/10/2025
AI, Health Care, and What to Expect in 2026
09/10/2025
Maintaining Safety and Trust When Patients Engage Google: A Conversation With Dr Michael Howell
18/09/2025
AI in Women's Health
05/09/2025
Changing Opinions About AI in Health Care
07/08/2025