Artificial intelligence (AI) is transforming how educators teach, learners study, and clinicians practice. In medical education, AI offers opportunities for partnership with traditional teaching methods rather than replacement. AI tools can extend educators’ capabilities, personalize learning, and stimulate reflection. Understanding the proper use of these tools (and their limitations) requires recognizing that AI-assisted medical education still depends on critical analysis, professional judgment, and human connection.
The DFCM Digital Health Committee (DHC) provides leadership and a community of practice for DFCM-affiliated sites and faculty on issues related to the use of digital tools in clinical practice and education. The DHC is committed to faculty development to further support faculty with responsibly integrating AI into their teaching and practice, and to provide a forum for discussion on this emerging topic. Inquiries about the DHC can be directed to Shantel Walcott.
Faculty Development Series
The Digital Health Committee, in collaboration with the Faculty Development Program, has designed a series of sessions to help medical educators explore and apply AI thoughtfully across teaching, clinical supervision, and academic work. Across three sessions, participants will build familiarity, confidence, and reflective practice in partnering with AI tools in educational contexts.
Part 1: AI as a Tool for Learning (Webinar - November 17th, 2025 from 6-7pm)
Identify current and emerging uses of AI in medical education
Analyze the risks, benefits, and ethical considerations of using AI as a collaborative partner in education
Describe how partnering with AI requires shifting from passive use (e.g., answer generation) to active, co-constructive strategies
