人工智能与自杀预防：跨行业的入门指南
AI and Suicide Prevention: A Cross-Sector Primer
AI总结：
本文探讨了人工智能聊天机器人在心理健康支持中的应用，分析了其在临床验证、标准制定和监管协调方面的不足，并提出跨行业协作的必要性。
摘要：
人工智能聊天机器人已经作为事实上的心理健康支持工具，服务于数百万人，包括处于危机中的人。然而，它们缺乏临床验证、共享标准和协调监管，这些是其社会角色所要求的。本文是在2026年由Partnership on AI主办的多利益相关者研讨会中联合开发的，汇集了AI实验室、心理健康从业者、有亲身经历的人士和政策制定者，以提供一个跨行业的参考点。文章首先概述了临床最佳实践，然后探讨了前沿AI系统（截至2026年冬季）如何检测和回应自杀和非自杀性自伤（NSSI）查询。这些内容提供了设计和实施AI工具的见解，不仅有助于预防自杀和NSSI，还能促进整体幸福感。本文基于临床文献、公开的AI实验室政策、新兴的评估框架以及AI和心理健康领域领导者的对话，映射了通用人工智能聊天机器人在心理健康方面的挑战，涵盖模型、产品和政策层面，最终突出优先领域，强调跨行业协作的紧迫性和可行性。
英文摘要：
AI chatbots already function as de facto mental health support tools for millions of people, including people in crisis. Yet, they lack the clinical validation, shared standards, and coordinated oversight that their societal role demands. This primer was developed in conjunction with a multistakeholder workshop hosted by Partnership on AI in 2026, convening AI labs, mental health practitioners, people with lived experience, and policymakers, to provide a common cross-sector reference point for the current state of the field of AI and suicide prevention. It begins with an overview of clinical best practices, then turns to how frontier AI systems (as of winter 2026) detect and respond to suicide and non-suicidal self-injury (NSSI) queries. Together, these provide insight into what it would take to design and implement AI tools that not only better prevent suicide and NSSI, but also promote overall well-being. Drawing on clinical literature, publicly available AI lab policies, an emerging landscape of evaluation frameworks, and conversations with leaders across the AI and mental health fields, we map challenges posed by general-purpose AI chatbots for mental health across model, product, and policy layers, ultimately highlighting priority areas where cross-industry alignment is both urgently needed and achievable.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
