大型语言模型在精神病学中的机遇和风险
Nick Obradovich1,2, Sahib S Khalsa1,2, Waqas Khan3
1Laureate Institute for Brain Research, Tulsa, Oklahoma, USA.
NPP - digital psychiatry and neuroscience
|November 18, 2024
概括
大型语言模型 (LLM) 在精神卫生保健中提供了变革性的潜力,改善了获取和诊断. 开发负责任的人工智能框架对于减轻风险和确保道德部署来推进精神病治疗至关重要.
科学领域:
- 精神病学和人工智能的人工智能
- 计算心理健康 计算心理健康
背景情况:
- 大型语言模型 (LLM) 越来越多地融入医疗保健.
- 它们在心理健康护理和研究中的应用带来了重大机遇和挑战.
研究的目的:
- 审查精神病学LLM的发展,功能和应用.
- 突出LLM在心理健康护理和研究中的潜在好处和风险.
主要方法:
- 对LLM发展和精神病学应用的文献综述.
- 分析潜在的好处 (例如,诊断,个性化护理) 和风险 (例如,道德,隐私).
主要成果:
- 法律法规可以提高诊断准确性,个性化患者护理,并简化行政任务.
- 潜在的应用包括预测分析和治疗聊天机器人.
- 风险包括计算需求,误解,劳动替代和隐私问题.
结论:
- 负责任的AI实践和道德准则对于在心理健康领域安全部署LLM至关重要.
- 开发强大的护,包括红色团队和多利益相关者安全协议是必要的.
- 充分利用LLMs的潜力需要降低风险,以推进精神病治疗和研究.
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