AI. AI. AI.
Based on the 2026 AWARE framework article
This page is an educational adaptation created by Augmenta Health to make the framework easier to understand and use in reflection, conversation and professional practice. It is not presented as an official derivative endorsed by the article authors.
The AWARE (AI Use, Why, Attachment, Reality and Risk, and Effect on Functioning) Framework for Assessing Patients’ Use of AI in Mental Health Care.
JMIR Medical Education. 2026;12:e108766. DOI: 10.2196/108766 · Original article: JMIR Medical Education.
Original work © Alexandre Hudon, Venkat Bhat, John-Jose Nunez, Vincent Paquin, Amylie Malouin-Lachance, François Lespérance. Originally published in JMIR Medical Education, 16 September 2026. The article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, which permits reuse and adaptation with appropriate attribution.
Conversational AI is becoming part of how people think, decide, learn, cope, seek reassurance and sometimes look for emotional support. The AWARE framework offers five areas to help people reflect on their own AI use and help professionals understand the role AI may be playing in someone’s life.
A flexible educational and interviewing framework. Not a diagnostic, screening or risk-prediction tool.
What is the AWARE framework?
One short overview introduces the five areas: AI Use, Why, Attachment, Reality & Risk, and Effect on Functioning.
Use AWARE as a way to notice, ask and understand the role conversational AI may be playing — in your own life or in a conversation with someone else.
Start here · AWARE overview
Watch on YouTubeAI is not just another search box.
Search engines mainly help us find information. Conversational AI can respond, adapt, continue a dialogue and produce language that may feel validating, supportive or emotionally meaningful.
From tool → to conversational environment
People may use conversational AI for education, productivity, health information, self-reflection, decisions, emotional support or companionship. That makes the pattern and meaning of use relevant — not merely the fact that someone uses AI.
“Feeling understood can be psychologically meaningful — even when the understanding is generated by a machine.”
The point is not to dismiss the experience, nor to confuse generated responsiveness with reciprocal human understanding.
What, where, how often — and what is being shared?
WWhyWhat need or purpose is bringing someone to AI?
AAttachmentWhat emotional or relational meaning has the interaction acquired?
RReality & RiskIs AI influencing beliefs, decisions, treatment or safety?
EEffect on FunctioningWhat is changing in sleep, work, relationships, care or recovery?
Five areas to notice, explore and talk about.
Use them for personal reflection or as flexible conversation prompts in clinical and helping contexts. They are not a test and do not replace established assessment.
AI Use
Explore: Start with the practical footprint: which tools are used, how often, in what situations, through which modes, and what personal or health information is shared. Using AI is not itself a problem; the pattern, purpose and impact give it meaning.
01 · AI Use
Watch on YouTubeLook at the pattern
- Platform or type of AI
- Frequency, duration and intensity
- Text, voice, images or uploaded documents
- Occasional use versus repeated or exclusive use
Look at privacy
- Symptoms or mental health history
- Medication or treatment information
- Medical reports, images or identifiers
- Information about family or other people
Why
Explore: Ask what brings someone back. Learning, convenience, creativity, decision support, reassurance, loneliness and emotional support may look similar from the outside but can meet very different needs.
02 · Why
Watch on YouTubeCommon purposes
- Learning or productivity
- Creativity and problem-solving
- Health information
- Decision support
When more context may help
- Emotional regulation
- Loneliness or companionship
- Repeated reassurance seeking
- Coping with distress
Attachment
Explore: Conversational AI can feel available, attentive, reassuring or understanding. Explore whether the interaction has become emotionally meaningful, trusted, relied upon, or more appealing than support the person actually wants from others — without assuming that attachment itself is pathological.
03 · Attachment
Watch on YouTubeDifferent experiences
- Trust
- Companionship
- Feeling understood
- Emotional reliance
Do not collapse these together
Therapeutic alliance, anthropomorphism, parasocial interaction, attachment and dependence are related ideas, but they are not the same thing.
Reality & Risk
Explore: Look more closely when AI begins shaping important beliefs, self-understanding, treatment or medication decisions, major life choices, or what someone does during a crisis. Positive findings require established clinical assessment beyond AWARE.
04 · Reality & Risk
Watch on YouTubeReality & judgement
- Self-identity or fixed beliefs
- Major life decisions
- What is considered accurate or trustworthy
- Whether AI is being used to decide what is “real”
Risk & safety context
- Suicidal thoughts or self-harm
- Violence
- Treatment refusal or medication changes
- Unsafe health decisions
Effect on Functioning
Explore: Bring the question back to ordinary life. AI may help with learning, organisation, coping or support, while also affecting sleep, work or study, relationships, routines, treatment engagement or recovery. Look for both benefits and difficulties.
05 · Effect on Functioning
Watch on YouTubeCheck everyday life
- Sleep
- Work or study
- Relationships
- Daily routine and quality of life
Check care & recovery
- Coping
- Treatment engagement
- Help-seeking
- Social connection or withdrawal
AI may help. AI may complicate. Sometimes both are true.
The aim is not to fear AI or idealise it. Look at the pattern, purpose, context and effect — including both benefits and concerns.
Possible helpful roles
- Psychoeducation and easier access to information
- Learning, problem-solving and self-reflection
- Coping strategies or emotional expression
- Structured mental health support in some purpose-built systems
- Support between or alongside professional care in appropriate contexts
Reasons to look more closely
- Repeated reassurance seeking or emotional reliance
- Replacement of wanted human relationships or supports
- AI reinforcing fixed or unsafe beliefs
- AI influencing treatment or medication decisions
- Excessive use that affects sleep, work, relationships or recovery
Five questions to keep in mind.
Use them for yourself or in a conversation with someone else. They are prompts for reflection and understanding — not a test, diagnosis or score.
The same five domains can organise a brief AI history.
For professionals, AWARE can act as a flexible conversation map when AI use is relevant. It complements — and does not replace — existing psychiatric interviewing, clinical formulation or risk assessment.
The 60-second AI history
- Use: “Do you use conversational AI such as ChatGPT, Gemini, Claude or another chatbot? What for?”
- Why: “When are you most likely to turn to it?”
- Attachment: “Does it ever feel emotionally important, reassuring or like a source of understanding?”
- Reality & Risk: “Has it influenced important beliefs, treatment decisions, medication, help-seeking or crisis decisions?”
- Effect: “Has it changed sleep, work, study, relationships or recovery?”
Document the role — not merely the app.
“Uses ChatGPT” alone tells you little. When clinically relevant, document pattern, purpose, psychological significance, impact and any benefits or concerns.
Uses conversational AI regularly for emotional support and problem-solving; describes feeling understood; no reported AI-related change in major beliefs or treatment decisions; reports improved coping and no perceived impairment in work, social or academic functioning. Separate standard risk assessment if clinically indicated.
Where could AWARE fit in education?
The source article proposes possible use in undergraduate and postgraduate teaching, simulation, case-based learning, OSCEs, clinical supervision, workplace-based assessment, reflective practice and continuing professional development. These are educational applications, not evidence that AWARE itself is clinically validated.
Is AWARE a validated clinical tool?
No. The authors describe it as an author-proposed conceptual interviewing framework. It has not undergone formal psychometric development or validation; its five domains should be treated as provisional and subject to content validation, feasibility testing, educational evaluation and cross-cultural adaptation.
If AI becomes part of a crisis, bring established human safety assessment back into the picture.
AWARE can help identify that AI has become part of the context. It does not replace assessment of suicide, self-harm, violence, impaired reality testing or other acute psychiatric risk.
What AWARE is — and what it is not.
AWARE is
A flexible educational and interviewing framework for exploring how conversational AI may intersect with mental health, functioning, relationships, treatment and safety.
AWARE is not
A diagnostic test, screening tool, psychometric scale, risk-prediction instrument, universal checklist or substitute for standard psychiatric assessment.
AI can inform. AI can support. AI can influence.
Understand the role it is playing.
Be AWARE. Beware.
