大型语言模型可能会改变行为健康护理的未来:对负责任的开发和评估的建议
Elizabeth C Stade1,2,3, Shannon Wiltsey Stirman4,5, Lyle H Ungar6
1Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Palo Alto, CA, USA. betsystade@stanford.edu.
Npj mental health research
|April 12, 2024
概括
大型语言模型 (LLM) 为心理治疗提供了潜力,但负责任的整合是关键. 本文概述了在精神卫生保健中以道德和有效的方式使用临床LLM的路线图.
科学领域:
- 人工智能在心理健康中的作用
- 临床心理学应用 临床心理学应用
- 大型语言模型 (LLM)
背景情况:
- 像GPT-4和双子座这样的LLM显示出增强心理治疗的希望.
- 由于系统容量问题和访问障碍,人们对人工智能在心理健康护理方面越来越感兴趣.
- 临床心理学需要细微的专业知识,使得人工智能集成的风险很高.
研究的目的:
- 为在心理治疗中负责任地应用临床LLM提供路线图.
- 探索技术方面,整合阶段,以及LLMs在精神卫生保健中的潜在应用.
- 为AI在临床环境中的伦理开发和评估提供建议.
主要方法:
- 临床LLMs的技术概述.
- 讨论LLM整合阶段,与自动驾驶汽车的发展进行并行.
- 探索临床护理,培训和研究中的潜在应用,识别风险.
- 对负责任的开发,评估和道德考虑的建议.
主要成果:
- 法律法学可以潜在地支持,增强或自动化心理治疗,解决访问和能力问题.
- 与自动驾驶汽车的整合并行凸显了阶段性发展和安全考虑.
- 临床应用中的风险包括评估,风险检测,透明度和偏见.
- 建议强调集中临床科学,跨学科合作和道德准则.
结论:
- 负责任的发展和评估对于将LLMs纳入心理治疗至关重要.
- 法律法规可以使基于证据的干预措施的大规模研究成为可能,这可能会挑战现有的假设.
- 需要一种平衡的方法来利用LLM的潜力,同时减轻心理健康护理中的风险.
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