实现人工智能 (AI) 支持的认知监测在老龄化人口中的道德治理
1Center for Bioethics, Harvard Medical School, Boston, USA.
Cureus
|February 16, 2026
概括
老年护理中的AI工具可以监测认知变化. 需要道德框架来解决人工智能的不透明性,数据同意和算法公平性,以实现老龄化人口中负责任的创新.
科学领域:
- 老年医学 老年医学
- 人工智能的人工智能
- 生物伦理学生物伦理学
背景情况:
- 人工智能支持的认知监测在老年护理中变得越来越普遍.
- 这些工具不断评估行为和认知模式,以便早期检测认知能力下降.
研究的目的:
- 检查老年护理中人工智能认知监测的伦理和治理挑战.
- 提出对负责任的创新和这些技术的伦理整合的要求.
主要方法:
- 这篇编辑回顾了关键的伦理考虑.
- 它讨论了包括模型不透明,临床责任,动态同意和算法公平等挑战.
主要成果:
- 机器学习模型的认识学不透明性是一个挑战.
- 分布的临床责任和对被动数据收集的动态同意需要谨慎管理.
- 在不同的人群中,算法的公平性能是一个关键问题.
结论:
- 应对道德挑战需要强大的治理框架.
- 这些框架必须澄清问责制,确保可解释性,并保护患者的自主权.
- 负责任的创新需要平衡临床决策支持与老龄化人口中人工智能的伦理保障.
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