Meta Digital
AI & responsibility

AI in mental health starts with a clear purpose

Educational content, professional support tools and diagnosis have different objectives. Confusing them in product descriptions creates the wrong expectations.

Define what the tool is intended to do

A tool may help people navigate reviewed information, organise work or form part of research into assessment methods. Each situation requires its own brief and evaluation. This is why Meta Digital distinguishes the educational LIFEADHD direction in preparation from Meta IT’s separate research into AI in psychological assessment. The label “AI” says nothing by itself about suitability for clinical use.

Examine errors as carefully as benefits

WHO highlights inaccurate, incomplete and biased outputs from generative models. Alongside useful answers, a pilot should therefore record errors, uncertainty and situations that encourage excessive trust. A professional should understand the basis of an answer and what remains unresolved. A fluent response is not proof of accuracy or effectiveness. It is useful to decide in advance who reviews an unexpected response and what happens next.

Set boundaries for data handling

Before involving participants, clarify the purpose, roles, information access and professional oversight. A first business conversation does not require health data or stories about identifiable participants. Research collaboration needs its own agreed arrangements. Our product approach starts with a clear account of what is available, what is still being investigated and who assesses whether a further use is appropriate.

Sources and further reading

A perspective on designing and evaluating digital services. This article is not medical advice or a claim about the effectiveness of a particular product.

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