人工智能在老龄化研究和教育中的多学科观点:在老年学中使用,伦理和公平考虑的演变
Angela K Perone1, Peter M Abadir2, Nancy Berlinger3
1School of Social Welfare, University of California, Berkeley, CA, 94709USA.
The Gerontologist
|December 18, 2025
概括
人工智能 (AI) 为老年学提供了新的工具,但也带来了诸如偏见这样的挑战. 跨学科的合作对于利用人工智能至关重要.
科学领域:
- 老年学和人工智能 (AI) 的研究
背景情况:
- 人工智能模型在老年学研究和教育中正在迅速发展.
- 机器学习提高了与年龄有关的疾病的诊断和治疗.
- 人工智能工具为学生和教育工作者提供定制的学习和创新.
研究的目的:
- 探索人工智能在老年学中的共同机遇和挑战.
- 促进关于人工智能的影响和道德考虑的跨学科对话.
- 在老年学学科中解决人工智能参与的孤立性质.
主要方法:
- 美国老年学会 (GSA) 召开了一个多学科小组讨论会.
- 来自六个GSA成员组和三个咨询小组的专家参加了会议.
- 讨论的重点是人工智能的跨学科影响和相关的伦理问题.
主要成果:
- 人类互动对于减轻人工智能局限性 (例如偏见,抽象推理) 是至关重要的.
- 人工智能为老年人,护理伙伴,从业者,研究人员和学生提供定制支持.
- 持续的培训和跨学科的合作对于导航AI的复杂性至关重要.
结论:
- 人工智能在老年学中带来了重大机遇和挑战.
- 解决人工智能的局限性需要以人为中心的方法.
- 跨学科的合作是负责任的AI实施在老龄化研究和实践的关键.
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