人工智能在心理健康中的伦理决策:计算机精神病学综合伦理方法 (IEACP) 框架
Andrea Putica1,2, Rahul Khanna3,4, Wiliam Bosl5,6,7
1Department of Psychology, Counselling and Therapy, https://ror.org/01rxfrp27La Trobe University, Melbourne, VIC, Australia.
Psychological medicine
|July 24, 2025
概括
计算精神病学整合了AI,但面临着伦理障碍. 新的计算精神病学综合伦理方法 (IEACP) 框架为负责任的AI在精神卫生保健中的实施提供了结构化的指导.
科学领域:
- 精神病学是一个精神病学.
- 人工智能的人工智能
- 生物伦理学生物伦理学
背景情况:
- 精神病学中的计算方法,包括精准医学和数字工具,具有巨大的潜力.
- 然而,它们的整合引发了关于隐私,算法偏见,透明度和临床判断的伦理问题.
- 现有的人工智能和医疗保健指南不足以应对这些复杂的挑战.
研究的目的:
- 引入计算机精神病学综合伦理方法 (IEACP) 框架.
- 为解决计算精神病学的伦理困境提供一个结构化的过程.
- 支持以患者为中心,文化敏感和公平的人工智能实施.
主要方法:
- 83项研究的概念综合.
- 制定一个五个阶段的程序框架 (识别,分析,决策,实施,审查).
- 以六个核心伦理价值观 (公益,自主,正义,隐私,透明度,科学诚信) 告知每个阶段.
主要成果:
- 该IEACP框架系统地解决了计算精神病学中的伦理困境.
- 它为临床医生,研究人员和政策制定者提供结构化的决策流程.
- 案例研究表明,该框架能够适应现实世界的应用.
结论:
- 该IEACP框架对于导航AI在精神病治疗中的伦理风景至关重要.
- 它在技术进步的同时促进道德创新.
- 它确保在心理健康中负责任和公平地实施计算工具.
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