Concern 630 · Working draft · editorial review in progress

Mental-health chatbot safety

Mental-health chatbot safety concerns arise when a conversational system responds to distress in ways that are misleading, stigmatizing or unsafe.

Understanding the concern

A chatbot can sound patient and caring without understanding a person's full situation or having a clinician's responsibilities. It may agree with a harmful belief, miss signs of a crisis or offer an unsuitable response. The risk is especially serious when a person thinks they are receiving professional treatment.

Studies that test therapy-like responses have identified failures, while carefully developed tools have also shown benefits in particular trials. These are different kinds of products and evidence. A general chatbot should not inherit the credibility of a tested clinical service. People need a clear account of what the tool does, its limits and how human support can be reached.

An example

A person treats a general chatbot's reassuring answer as a clinical assessment, although no professional has reviewed their situation.

Illustrative unless identified as a documented case.

Evidence and its limits

Response tests identify safety problems; the Therabot trial concerns a specific expert-developed intervention. Neither source justifies treating all mental-health chatbots as equivalent.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

How can a service make its role and routes to human help clear before someone relies on it during distress?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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Principles for the conversation

Before you finish · reflect together

Virtues and principles to consider

Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.

Service

Service means using abilities and resources to meet real needs. It asks whether the people meant to benefit actually receive help, rather than treating them as a means to another goal.

Speak with the people the project is meant to serve. Notice burdens it may add, such as extra checking or confusing forms. Judge success by their experience as well as the organization's targets.

Ask together: Who is this meant to serve, and do they experience it as helpful?

Dignity

Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.

Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.

Ask together: Does this use treat each person as someone whose experience matters?

Listening

Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.

Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.

Ask together: Whose experience have we not heard yet?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Major · 4/5
Likelihood
Widely observed · 4/5
Time horizon
Now
Register risk score
16
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