人工智能的滥用和学生在医学教育中的被动性
1Department of Physiology, Neuroscience Research Center, Medical Faculty, Golestan University of Medical Sciences, Gorgan, Iran.
Advances in physiology education
|September 12, 2025
概括
医学教育中的人工智能 (AI) 既有好处又有风险. 这项工作强调了人工智能的被忽视的负面影响,倡导在教育环境中引导学生使用人工智能.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 越来越多地融入医学教育.
- 人工智能在这个领域的潜在负面影响往往被低估.
- 均衡的视角对于有效的AI实施至关重要.
研究的目的:
- 突出人工智能在医学教育中未被充分认识到的负面潜力.
- 倡导学生对人工智能采用更具批判性和指导性的方法.
- 为制定负责任的AI整合策略提供信息.
主要方法:
- 在医学教育中对AI的文献综述.
- 分析潜在的风险和缺点.
- 对指导应用的综合建议.
主要成果:
- 医学教育中的人工智能是一个复杂的问题,具有显著的缺点.
- 负面影响,如过度依赖或数据隐私问题,经常被忽视.
- 学生需要指导,以有效和道德地导航AI工具.
结论:
- 人工智能在医学教育中的整合需要仔细考虑其负面方面.
- 需要积极的战略来减轻风险并确保负责任的使用.
- 进一步的研究应侧重于制定在医疗保健培训中道德和有效地部署人工智能的框架.
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