AI in Simulation: Flowers of Progress or Weeds of Vulnerability? Security in the Age of Algorithms

Abstract

Artificial intelligence (AI) is transforming medical simulation learning by offering adaptive scenarios, personalized learning, and data analysis. However, its use comes with risks: algorithm bias, data leakage, threats to psychological security, and lack of transparency in decisions. The report analyzes the capabilities of AI in creating realistic simulations and identifies safety issues, emphasizing the need for transparency, ethics, and human oversight to ensure quality and trust in medical education.