Generative artificial intelligence chatbots are sophisticated conversational artificial intelligence tools that have the capability to interpret natural language inputs and produce responses that closely resemble human speech. Artificial intelligence chatbots hold significant promise in revolutionizing medical education by offering invaluable support across various educational domains, including teaching, learning, and assessment. Their practical applications span a wide spectrum, from aligning learning objectives and simplifying administrative tasks to facilitating feedback, aiding faculty development, and supporting mentorship initiatives. However, alongside their potential benefits, concerns exist regarding data privacy, inherent biases, and occasional errors termed “hallucinations,” underscoring the imperative for a cautious and informed approach to their integration within educational settings. It therefore becomes essential for medical educators and academic institutions to proactively engage with artificial intelligence technologies like chatbots, not only to leverage their benefits but also to critically assess and address associated challenges such as bias, privacy, and misinformation. By thoughtfully integrating artificial intelligence tools, medical educators can determine where these technologies are most beneficial, implement safeguards against potential harms, and explore innovative applications to enhance medical education.