RUSK Insights on Rehabilitation Medicine podcast

Dr. Kellie Owens: Ethical and Trustworthy AI in Health Care

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Dr. Kellie Owens, is an assistant professor in the section of medical ethics at NYU Grossman School of Medicine. She's a sociologist and empirical bioethicist studying how digital technologies are woven into the fabric of healthcare and society and how governance structures can better support those affected by technological change. She also leads the responsible AI review process for the Division of Applied AI Technologies and with the IRB.

Part 1

Dr. Owens began by indicating that by AI, she means any computer system that's designed to perform tasks that typically require human intelligence, which could be things like recognizing patterns, interpreting data, making predictions, or even making decisions. In the health care context, that means AI systems that analyze complex. medical data that assist with diagnosis or risk prediction that can help automate some routine processes.  She wants to talk mostly about the less fun side, the sort of limitations and potential harms that we have to be aware of to make sure that we're using this technology responsibly. Her focus today is on the people and process side of AI integration and not the technical side. Examples raised today focus specifically on health care implementation. She indicated that there are increasing calls from AI developers and users and regulators and folks in ethics to increase evidence standards for implementing new AI systems. The majority fall outside of FDA regulation, which means they really haven't undergone any formal review for safety and efficacy. The stated goals of ambient documentation, ambient scribes, are to give doctors more time with their patients or more time with their families. We are going to have to vigorously defend that time savings. Otherwise, that free time will be used in plenty of ways that don't touch the problem of physician burnout at all. She wants to be really intentional about how we think about time savings and efficiency regarding AI.

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