人工智能对心理健康的道德权衡
1Department of Food and Resource Economics, University of Copenhagen, Frederiksberg, Denmark.
Frontiers in psychiatry
|September 13, 2024
概括
精神病学中的机器学习承诺更快,更准确的诊断. 然而,这项研究认为算法输出不是客观的,强调了在心理健康算法开发中需要透明度.
科学领域:
- 精神病学是一个精神病学.
- 人工智能的人工智能
- 医学伦理 医学伦理
背景情况:
- 机器学习 (ML) 算法越来越多地预计将增强精神病诊断,预后和治疗.
- 支持它们的使用的一个关键论点是,它们有可能更快,更准确的临床判断和更客观的决策依据.
研究的目的:
- 批判性地检查机器学习算法在精神病临床决策中的客观性.
- 在开发心理健康算法时,倡导对伦理考虑的透明度.
主要方法:
- 这篇文章提出了一个概念论证.
- 它分析了在人类价值观和潜在偏见的背景下算法输出的固有性质.
主要成果:
- 精神病学中的算法输出本质上不是客观的,因为它们受到人类价值观和潜在偏见的影响.
- 开发用于心理健康的算法涉及不可避免的伦理权衡.
结论:
- 在开发用于心理健康应用的算法时,关于道德权衡的透明度至关重要.
- 对这些权衡的认识对于在精神病学中负责任地实施AI至关重要.
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