{Reference Type}: Journal Article
{Title}: Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172.
{Author}: Masters K;Herrmann-Werner A;Festl-Wietek T;Taylor D;
{Journal}: Med Teach
{Volume}: 0
{Issue}: 0
{Year}: 2024 Aug 8
{Factor}: 4.277
{DOI}: 10.1080/0142159X.2024.2387802
{Abstract}: Generative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment. On the horizon, however, is Artificial General Intelligence (AGI) which promises to be an even greater leap and challenge. This Guide begins by explaining the context and nature of AGI, including its characteristics of multi-modality, generality, adaptability, autonomy, and learning ability. It then explores the implications of AGI on students (including personalised learning and electronic tutors) and HPE institutions, and considers some of the context provided by AGI in healthcare. It then raises the problems to address, including the impact on employment, social risks, student adaptability, costs, quality, and others. After considering a possible timeline, the Guide then ends by indicating some first steps that HPE institutions and educators can take to prepare for AGI.