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Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172
被引:0
|作者:
Masters, Ken
[1
]
Herrmann-Werner, Anne
[2
]
Festl-Wietek, Teresa
[2
]
Taylor, David
[3
]
机构:
[1] Sultan Qaboos Univ, Coll Med & Hlth Sci, Med Educ & Informat Dept, Muscat, Oman
[2] Univ Tubingen, Tubingen Inst Med Educ, Tubingen, Germany
[3] Gulf Med Univ, Coll Med, Ctr Leadership & Innovat Hlth Profess Educ, Ajman, U Arab Emirates
关键词:
Artificial intelligence;
Artificial General Intelligence;
general-purpose AI;
Generative AI;
ChatGPT;
D O I:
10.1080/0142159X.2024.2387802
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
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.
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页码:1258 / 1271
页数:14
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