With AI offering so many opportunities across academic medicine, the AAMC is convening and connecting our community. This free webinar series will share strategies and exemplars in the field to help grow your knowledge and advance your practice.
This learning series will explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions to support you in navigating the evolving world of AI in academic medicine. Sessions will feature resources and best practices that you can apply across various settings, as well as time for Q&A with the featured speakers.
Explore recordings from the AI Skill Building for Medical Educators series, which aims to deepen your understanding of AI tools, applications, and ethics in academic medicine. Materials from these sessions are also included below under "Past Sessions."
To access the recordings of past webinars in the "Artificial Intelligence in Academic Medicine" webinar series, check out Cassyni. Be sure to explore all the special features available, including captions in multiple languages, AI search and navigation, and more.
2027 Season
Upcoming episodes for our 2027 season will be announced soon!
Past Sessions
2026 Season
Building a Healthier Future: Designing AI for Health Equity
This webinar explored the intersection of health equity and AI, examining how emerging technologies can both reduce and reinforce barriers in health care. The session highlighted recommendations from the NAACP Center for Health Equity's Health AI Task Force and the importance of intentional design and governance to support equitable outcomes. Speakers discussed key challenges, opportunities, and considerations for the responsible use of AI in health care.
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Building Data Culture, Governance, and AI Readiness: Bridging Clinical, Education, and Research
This webinar brought together three Johns Hopkins efforts that showed how a large academic medical center was approaching data governance, data culture, and responsible AI use. The value was not in presenting a finished model. It was in showing real institutional work in progress: strong efforts in separate domains, early connections across missions, and practical lessons for others facing the same complexity.
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Bringing Data Culture into the Future
This webinar explored the core domains of data culture and examined the questions, challenges, and trade-offs that new technologies introduce into organizational data use and governance. It highlighted how a strong data culture enabled teams to be proactive rather than reactive in navigating these shifts. The session also outlined critical conversations institutions needed to have immediately—and to revisit in six months and one year—to stay ahead of rapid changes in analytics, AI, and digital transformation.
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Navigating the Data Soup: Web3, AI, and the Future of Healthcare Data
AI and cloud technologies are advancing rapidly in medicine, but fragmented data systems and privacy constraints continue to limit access to patient‑level data. New platforms leverage blockchain, encryption, and tokenization to support data privacy and provenance, yet most academic medical centers struggle to operationalize these tools. This webinar explored how Web 3.0 technologies could help address persistent challenges in healthcare data governance and use.
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Let AI Do the Work: Developing Effective Change Management Plans
This session explored how generative AI can accelerate and strengthen change management in academic medicine, particularly in environments where traditional planning cycles lag behind rapid transformation. Through a live demonstration, presenters showed how participants could use gen AI to co-develop a practical change management plan and shared ready-to-use templates and resources to support real-world implementation. This topic was previously presented at the Group on Business Affairs (GBA) and Group on Institutional Planning (GIP) Joint Spring Meeting.
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Continuous Professional Development in AI: Building a Lifelong Learning Plan (Hosted by GEA)
This webinar invited participants to reflect on their current AI knowledge and identify gaps to inform a personalized learning plan. Presenters highlighted practical AI resources to support ongoing professional growth and facilitated discussion on how AI is being used in medical education, encouraging thoughtful experimentation and next steps.
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Building Foundations for AI Success: Data Infrastructure and Culture for Effective Implementation
This session examined how AI could transform medical education while addressing common infrastructure and capacity challenges to adoption. Speakers shared practical strategies for building a foundation for responsible AI integration, including data governance, institutional culture, and infrastructure, alongside real-world use cases and adaptable tools. Attendees gained actionable insights to navigate barriers to adoption and explored best practices for sustainable implementation.
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Preparing for AI Integration in Clinical Education (Hosted by GEA)
This webinar examined how AI reshaped clinical practice and diagnostic reasoning, including risks of deskilling, never skilling, and mis-skilling. Presenters reviewed AI applications in clinical care and shared practical strategies for integrating these tools into education, assessing learner readiness, and evaluating outcomes. The session also addressed ethical and relational dynamics in physician–patient and human–computer interactions, and highlighted how educators incorporated adaptive learning strategies.
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2025 Season
"Personalizing Learning with AI" (Hosted by GEA)
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"Developing AI Enhanced Curricula" (Hosted by GEA)
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"Leveraging AI to Enhance Effectiveness in Administration, Analytics, and Leadership"
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"Using AI with Data and Scholarship" (Hosted by GEA)
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"Innovating Med Ed with AI: Insights from the Macy Report"
The presentation offered insights from the September 2025 Academic Medicine supplement and the 2024 Macy Foundation Conference on AI in Medical Education.
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"AI for Efficiency and Automation" (Hosted by GEA)
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"Academic Data Hubs in the Era of Cloud and AI"
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"Evaluating AI Outputs: Ensuring Accuracy and Relevance" (Hosted by GEA)
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"Prompting for Educators: Effective Communication with AI" (Hosted by GEA)
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"AI and the Future of Med Ed: Recommendations from the Macy Foundation Conference"
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"How to Get Started with Faculty Development on Artificial Intelligence"
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"Foundations of Skill-Building with Artificial Intelligence" (Hosted by GEA)
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"AAHCI Ignite! Talks" (Hosted by AAHCI)
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"The CARE-AI Study: Creating Accountable and Responsible Ethics for Artificial Intelligence for Healthcare"
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“AI in Medical Education Selection: AAMC’s Toolkit for Responsible Implementation”
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“Meeting the Moment: Supporting the Use of AI in Medical Education”
Presenters introduced two new resources: the Principles for the Responsible Use of AI in Medical Education and the International Advisory Committee on AI's draft Vision and Integration Frameworks.
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