From foundational concepts and ethical considerations to hands-on strategies for prompting, evaluating outputs, curriculum design, clinical education, and scholarly work, this series will equip participants with practical competencies for responsible and effective AI use. Led by experienced educators and thought leaders in medical education, each monthly session offers actionable insights and tools to help you integrate AI into your teaching, assessment, and professional development. Whether you're just getting started or looking to deepen your expertise, this series offers a supportive and structured path toward AI literacy and leadership.
How has the AI series impacted you?
Session 8: AI for Assessment and Evaluation in Medical Education
Thursday, December 18
1:00 - 2:00pm ET
Objectives:
- Understand the rationale and opportunities for AI-assessment and evaluation
- Construct a reliable assessment tool using an application programming interface (API)
- Reflect on considerations for sound and reliable AI-assessment approaches
Speakers
- Tama S. Thé, MD, Assistant Professor of Pediatric Emergency Medicine, University of Kentucky College of Medicine
- Christopher J. Nash, MD, EdM, Assistant Professor of Emergency Medicine, Duke University School of Medicine
- Boyung Suh, PhD, Southern Illinois University, Assistant Professor of Medical Education
- Priti Parikh, PhD, Professor and Vice Chair Research and Education, Surgery; Director for the Medical Scholars Program, Wright State University
Session 9: Preparing for AI Integration in Clinical Education
Thursday, January 15
1:00 - 2:00pm ET
Objectives:
- Describe the potential impact of AI on clinical practice and diagnostic reasoning including risk of deskilling, never skilling, and mis-skilling.
- Explore AI applications for clinical care and strategies for their use in clinical education including strategies to assess readiness and evaluate outcomes.
- Highlight ethical and practical considerations for the physician-patient and human-computer relationships.
- Identify how teachers can incorporate adaptive learning skills and reflective practice to support thoughtful and safe expansion of AI in clinical practice.
Session 10: Continuous Professional Development in AI: Building a Lifelong Learning Plan
Thursday, February 19
1:00 - 2:00pm ET
Objectives:
- Assess personal AI knowledge gaps and develop a learning plan.
- Explore and share AI-related resources for ongoing professional growth.
- Reflect on AI use in medical education and identify areas for further experimentation.
Previous Session Recordings
Session 1: Foundations of Skill-Building with Artificial Intelligence
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Session 2: Prompting for Educators: Effective Communication with AI
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Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance
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Session 4: AI for Efficiency and Automation
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Session 5: Using AI with Data and Scholarship
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Session 6: Developing AI Enhanced Curricula
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