Preparing for Artificial General Intelligence (AGI) in Health Professions Education
Amee Guide No. 172
Bibliographic Data
| ID | 21448142 |
|---|---|
| Authors | Ken Masters (0000-0003-3425-5020, Medical Education and Informatics Department, College of Medicine and Health Sciences, Sultan Qaboos University, corresponding author), Anne Herrmann‐werner (0000-0003-2413-7047, Tübingen Institute for Medical Education, University of Tübingen), Teresa Festl‐Wietek (0000-0003-1450-1757, Tübingen Institute for Medical Education, University of Tübingen), David Taylor (0000-0002-6098-5636, Gulf Medical University) |
| Year | 2024 |
| Volume | 46 |
| Issue | 10 |
| Pages | 1258-1271 |
| Publication date | 2024-10-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Teacher (JOURNAL) |
| Journal identifiers | ISSN: 0142-159X • E-ISSN: 1466-187X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0142159x.2024.2387802 |
| PMID | 39115700 |
| OpenAlex | W4401420291 |
| Language | EN |
| Citations received | 10 |
| References cited | 34 |
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
Health care · Mathematics education · Medical education · Political science · Artificial Intelligence · Artificial Intelligence in Healthcare and Education · Biomedical and Engineering Education · Computer Science · Health Professions · Medicine · Psychology
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| Citations per year | 5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |