The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education
Jonathan J Y Heng, Desmond B. Teo, Li Feng Tan
Abstract
Artificial intelligence (AI) in medicine is developing rapidly. The advent of Chat Generative Pre-trained Transformer (ChatGPT) has taken the world by storm with its potential uses and efficiencies. However, technology leaders, researchers, educators, and policy makers have also sounded the alarm on its potential harms and unintended consequences. AI will increasingly find its way into medicine and is a force of both disruption and innovation. We discuss the potential benefits and limitations of this new league of technology and how medical educators have to develop skills and curricula to best harness this innovative power.
Topics & Concepts
MedicineCurriculumGenerative grammarTransformerMedical educationUnintended consequencesEngineering ethicsArtificial intelligenceComputer scienceElectrical engineeringEngineeringPedagogyPsychologyVoltagePolitical scienceLawArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIBiomedical and Engineering Education