Artificial intelligence (AI) tools are increasingly integrated into hepatology clinical practice and training (eg, ambient scribes/note drafting in clinic, chart summarization on consult services, and AI–enabled platforms that synthesize evidence for point-of-care questions). While these tools may accelerate access to knowledge, they also introduce educational and professional risks: over-reliance that undermines core clinical skill acquisition; uncritical acceptance of AI–generated recommendations; and evolving boundaries for AI use in scholarship.
This session—presented as a partnership between the Clinical Informatics and Digital Health Special Interest Group and the Training and Workforce Committee—is a highly practical conversation focused on how faculty should incorporate AI into hepatology education while strengthening trainee reasoning, and what guardrails are needed to help trainees and educators use AI responsibly in clinical education.