AI and Suicide Prevention: A Cross-Sector Primer

TL;DR

This paper reviews the current state of AI chatbots in mental health, especially suicide prevention, highlighting challenges, best practices, and the need for standards and oversight as of 2026.

Contribution

It provides a cross-sector overview of AI's role in suicide prevention, identifying key challenges and outlining areas for improved standards and collaboration.

Findings

AI chatbots are widely used for mental health support but lack clinical validation.

Current AI systems can detect and respond to suicide and NSSI queries, but need better oversight.

Cross-industry alignment is urgently needed to improve AI tools for mental health.

Abstract

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.