On this special live edition of KeyLIME+, recorded at the Sim Tank innovation event held at Queen's University, Adam brings together a panel of simulation and education leaders to explore how artificial intelligence is transforming medical simulation training. From personalized learning and adaptive assessment to concerns about de-skilling, data ownership, and the evolving role of educators, the conversation examines both the promise and the pitfalls of tech-enhanced simulation. Together, the panel reflects on how emerging technologies may reshape not just how we teach medicine using sim, but how clinicians learn, think, and perform in an increasingly complex healthcare system. Episode Length: 43:02 Resources to check-out Dizon JI, Mendoza NB, Gasevic D, Ganotice Jr FA. Assessing AI-driven metacognitive offloading: Initial development and validation of the Metacognitive Laziness Scale. ECNU Review of Education. 2026 Jun;9(2):20965311261450994. https://journals.sagepub.com/doi/full/10.1177/20965311261450994 Sears, K., Goldsworthy, S., & Goodman, W. M. (2010). The relationship between simulation in nursing education and medication safety. The Journal of Nursing Education, 49(1), 52-55. https://doi.org/10.3928/01484834-20090918-12 Journey of Nursing Regulation https://www.ncsbn.org/public-files/JNR_Simulation_Supplement.pdf Ke, Y., Jin, L., Ong, J.C.L. et al. AI-induced never-skilling in medical education. Nat Med 32, 1997–2006 (2026). https://doi.org/10.1038/s41591-026-04438-y https://www.nature.com/articles/s41591-026-04438-y Contact us: keylime@royalcollege.ca Follow: Dr. Adam Szulewski https://x.com/Adam_Szulewski