心理健康 AI 工具应 FIT：聚焦、干预特异、剂量滴定
Focal, intervention-specific, and titrated: Which artificial intelligence tools are FIT for mental health care?
针对与心理治疗配合使用的人工智能工具，作者提出 FIT 框架：聚焦（限定问题范围）、干预特异（限定治疗程序）、剂量滴定（按使用场景校准剂量与时长）。该框架旨在降低对话式心理健康 AI 相关的三类特定风险，定位为实用起步护栏而非完整清单。讨论仅限临床常规照护中由临床医生处方或在其指导下使用的工具，不涉及完全无监督的消费者使用。
For artificial intelligence (AI) used in conjunction with psychotherapy, clinicians and clients need a principled basis for deciding which tools to engage with, and intervention designers need guidance on building tools that are most likely to be safe and effective. As the evidence base on mental health (MH)-AI safety and efficacy grows, we propose tools that are FIT: focal (bounded in problem focus), intervention-specific (bounded in therapeutic procedures), and titrated (with dose and duration calibrated to match the use case). FIT is a proposed framework, designed to reduce three specific risks that have been linked to conversational MH-AI. The dimensions are intended as practical starting guardrails, not as an exhaustive list. In this viewpoint article, the authors' argument concerns only MH-AI used in routine clinical care—tools prescribed by or used with input for guidance from a clinician. The authors leave aside fully unsupervised consumer use, which raises additional concerns beyond this viewpoint. (PsycInfo Database Record (c) 2026 APA, all rights reserved)
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来源：Journal of Consulting and Clinical Psychology · doi.org