RAND study sets AI benchmark for suicide-related chat support

Valerie A. Canady
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Abstract

Widely used artificial intelligence (AI) platforms, powered by large language models (LLM), generally handle both very high risk and very low risk queries with caution and accuracy, but their responses to intermediate-risk questions — such as those involving suicidal ideation or seeking help — are often unpredictable and vary significantly across platforms and even within repeated interactions, RAND researchers noted about new AI research published in Psychiatric Services Aug. 26.

兰德研究为自杀相关聊天支持设定了人工智能基准
兰德研究人员在8月26日发表在《精神病学服务》上的一项新的人工智能研究中指出,广泛使用的人工智能(AI)平台,由大型语言模型(LLM)提供支持,通常谨慎而准确地处理非常高风险和非常低风险的问题,但它们对中等风险问题(例如涉及自杀意念或寻求帮助的问题)的反应往往是不可预测的,并且在不同平台之间甚至在重复的互动中都存在显著差异。
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