Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education
Michael Tran, Chinthaka Balasooriya, Carolyn Semmler, Joel Rhee
Abstract
Generative artificial intelligence (GenAI) including large language models (LLM) have the potential to transform medical education and assessment. The pace of development is rapid and there is a need for learners and educators to consider the potential opportunities and challenges that will arise from these technologies in creating competent and empathetic doctors. In the review article Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education 1 we outline the broad positive impacts, and challenges facing learners and educators, pedagogical considerations and explore whether there is a need for more regulation.