TEACH supports medical educators in creating high-quality educational materials with artificial intelligence, grounded in published research and guided by safety at every step.
About TEACH
Artificial intelligence (or Augmented Intelligence) is seeing growing use in medical education, and educators who work with these tools need approaches that emphasize safety and critical evaluation. TEACH provides a structured environment for exploring and experimenting with large language models and developing skills to evaluate machine output with the same rigor applied to clinical and teaching practice.
The Artificial Intelligence Catalyst Program
TEACH is part of the Artificial Intelligence and Education Faculty Catalyst Program, a one-year initiative supported by the Baum Family. The program brings together faculty leaders who help their peers adopt artificial intelligence in educational settings with confidence and care.
The Catalyst Program provides educators with practical tools, shared knowledge, and a supportive community so that artificial intelligence adoption in medical education is guided, evidence-based, and safe.
Who TEACH is For
TEACH is designed for educators who wish to better understand artificial intelligence and LLMs. TEACH includes the basics of how large language models work and how they reason, so newcomers can build foundational understanding while experienced users can deepen their practice. Each module is self-contained, so educators can begin with the topic most relevant to their work and expand from there. The goal is to complement existing expertise with practical artificial intelligence skills that apply immediately.
Timeliness of Artificial Intelligence Literacy
The research on artificial intelligence in medical education is advancing rapidly, and institutions are beginning to develop frameworks for responsible use. TEACH translates that growing evidence base into practical, guided exercises so educators can build artificial intelligence skills alongside the emerging best practices and safety standards shaping the field.
Unsolved Problems in Artificial Intelligence Literacy
Critical appraisal and stewardship of artificial intelligence remain urgent and unresolved challenges in medical education. TEACH does not address governance, policy, or long-term stewardship directly, but rather focuses on literacy through the lens of education and experimentation. TEACH hopes to provide an early framework for shared vocabulary and habits of critical evaluation so that educators may prepare for conversations about artificial intelligence use with learners.