AI, Accountability & the Practice of Medicine
Learning Objectives:
1. Summarize emerging regulatory and legal considerations affecting the development, implementation, and use of AI in healthcare.
2. Identify potential risks and responsibilities associated with AI-assisted and AI-automated clinical workflows.
3. Discuss implications of AI adoption for the physician-patient relationship, clinical oversight, and the role of physicians in an increasingly automated healthcare environment.
Have questions you want the speaker to address?
Email Kristina Seier: kseier@iowamedical.org.
Speaker: Shannon Curtis, JD
Shannon Curtis is the Senior Director of Digital Health Policy at the American Medical Association’s Center for Digital Health and AI, where she leads policy development on digital health with a focus on the regulation and responsible use of artificial intelligence in healthcare.
She works with federal and state policymakers to shape regulatory frameworks, legislation, and policies that support the safe, effective, and ethical implementation of AI. Previously, Shannon spent 11 years in the AMA’s Division of Federal Affairs, where she led advocacy on a broad portfolio including drug regulation, pricing, and access, diagnostics policy, vaccine regulation and access, public health preparedness, and provided advocacy support to the CPT Editorial Panel.
Read the AMA's Liability for Clinical AI Issue Brief, published October 2026.
Check out our previously recorded webinar on AI in Medicine: What Iowa Physicians Need to Know About Liability with Copic counsel, Matt Groves, JD. Recorded on August 20, 2026.
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