用双子座2.0闪光和克劳德·索内特4:探索性分析为精神分裂症谱系障碍患者提供工作推
Maximin Lange1, Nikolaos Koutsouleris1,2,3, Ben Carter1
1Institute of Psychiatry, Psychology & Neuroscience King's College London London UK.
Healthcare technology letters
|February 16, 2026
概括
大型语言模型 (LLM) 显示了对精神分裂症谱系障碍患者的就业建议的偏见和有限的多样性. 在为弱势群体部署之前需要进一步评估.
科学领域:
- 人工智能的人工智能
- 精神病学是一个精神病学.
- 职业康复 职业康复 职业康复
背景情况:
- 就业对于重度精神疾病的康复至关重要.
- 个人安置和支持 (IPS) 是有效的,但范围有限.
- 大型语言模型 (LLM) 显示了职业指导的潜力.
研究的目的:
- 分析针对精神分裂症谱系障碍患者的LLM产生的就业建议.
- 为了比较LLM对弱势群体和对照群体的实用性.
- 评估偏见和与支持就业原则的协调.
主要方法:
- 使用了450名精神分裂症患者和50名来自MIMIC-IV数据库的对照组的出院摘要.
- 双子 2.0 闪光和克劳德·索内特 4 每个案例都产生了三个工作建议.
- 通过LLM自动化内容分析,评估了推理,适应和与IPS保持一致.
主要成果:
- 两位LLM都表现出有限的多样性和偏向入门级角色.
- 精神分裂症队列:双子座推办公职位;克劳德推与图书馆相关的角色.
- 对照显示了类似的聚类;建议往往依赖于刻板印象,缺乏个性化.
结论:
- 初步证据不支持立即部署LLM在这个人群中的就业建议.
- 需要进一步评估,包括人类监督和偏见缓解策略.
- 法律职业指导需要改进,以确保为弱势群体提供公平和个性化的职业指导.
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