人工智能用于临床精神病学的真正的伦理问题
1Department of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York, NY, USA.
概括
人工智能 (AI) 在心理健康护理中提出了伦理挑战. 目前用于查,文档和支持的AI工具引发了对临床医生和决策者的偏见,数据安全和责任的担忧.
科学领域:
- 精神病学是一个精神病学.
- 医学伦理 医学伦理
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被纳入心理健康护理.
- 目前的应用包括查,文档,决策支持和辅助治疗.
- 伦理方面的考虑往往集中在未来的AI上,忽视了当今的影响.
研究的目的:
- 探索当前在心理健康护理中人工智能应用的伦理问题.
- 分析各种AI应用程序之间的区别和模糊线.
- 为利益相关者确定实际考虑因素.
主要方法:
- 审查现有的AI应用在心理健康.
- 分析这些应用产生的伦理考虑.
- 讨论包括反思性实践,人工智能吸引力,偏见,数据安全和责任在内的问题.
主要成果:
- 目前在心理健康领域的人工智能工具,虽然看似简单,但会带来重大的伦理挑战.
- 关键的伦理问题包括算法的偏见,数据隐私风险和问责问题.
- 人工智能的整合影响反射性实践和决策.
结论:
- 人工智能对心理健康的伦理影响需要立即关注.
- 临床医生,专业机构和政策制定者需要实际指导.
- 解决这些问题对于在心理健康环境中负责任地实施人工智能至关重要.
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