AI in Child & Adolescent Psychology

As a clinical and counselling psychologist working with children and adolescents, I spend a lot of time in the space between assessment, formulation and treatment.

Young people rarely present with one clear issue. Their experiences are shaped by family dynamics, school environments, development, peer relationships and increasingly the digital world around them.

Assessment often involves pulling together many sources of information:

• conversations with the young person
• input from parents or carers
• teacher reports
• behavioural observations
• developmental history
• psychometric testing

The real clinical work is integrating all of this into a meaningful formulation that guides treatment.

It’s thoughtful work. But it’s also time intensive.

This is where carefully designed AI tools may begin to support clinicians.

AI may help organise large volumes of information, highlight patterns across reports, and support reflective thinking during the formulation process, adding another lens rather than replacing clinical judgement.

For children and adolescents this can be particularly useful. Emotional, behavioural, learning and family factors often overlap. Seeing patterns across these domains can strengthen the formulation process.

Of course, the core of therapy remains human.

Young people need to feel safe, understood and supported by a trusted adult. Technology cannot replace the therapeutic alliance.

But if AI can reduce some of the analytical and administrative load around our work, it may allow psychologists to spend more time doing what matters most: working directly with young people and their families.

If clinicians are involved in shaping these tools from the beginning, we have an opportunity to ensure they support psychology rather than disrupt it.

AI-Assisted Supervision: A New Layer of Reflective Practice

Supervision is one of the most important safeguards in clinical psychology.

It’s where we slow down, reflect on complexity, challenge our assumptions, and refine how we understand and support our clients.

But in reality, access to consistent, high-quality supervision isn’t always guaranteed. Time pressures, private practice, and geographic isolation can all limit opportunities for regular reflective discussion.

This is where AI-assisted supervision becomes an interesting idea: an additional reflective layer clinicians can engage with between sessions, rather than a replacement for human supervision.

Imagine a tool that can:

• highlight themes across clinical notes
• surface patterns in a client’s presentation over time
• prompt alternative hypotheses in formulation
• encourage deeper reflective questioning
• generate draft formulations and treatment plans for clinician review
• recommend specific, evidence-based assessment tools
• produce structured outputs that can be shared (e.g., reports, summaries, or treatment plans)

Importantly, this only works if clinicians can see and interrogate the reasoning behind what’s generated.

In that sense, AI becomes a thinking partner, not a decision maker.

But this space must be grounded in ethics.

For AI-assisted supervision to be appropriate in clinical contexts, it needs to align with professional codes and standards:

• Confidentiality & data protection: secure handling of sensitive clinical information
• Clinical accountability: the clinician remains fully responsible for decisions
• Transparency: no “black box” outputs; reasoning must be visible
• Bias & fairness: active monitoring to avoid reinforcing harmful assumptions
• Boundaries of competence: AI supports thinking, not diagnosis or risk decisions

When it comes to formulation, treatment planning, and assessment recommendations, this is especially important. These outputs should always be treated as drafts to reflect on, not conclusions to act on without clinical judgment.

Psychology is, and always will be, a human profession.

But tools that support reflection and clinical reasoning may help us practise more thoughtfully, especially in contexts where supervision is harder to access.

The real task is ensuring AI enters clinical practice in a way that is ethical, transparent and supportive of better care.

Thinking Beyond Administration: How AI Could Enhance Therapy

Most conversations about AI in psychology focus on administration: notes, documentation and pattern recognition. Those are useful improvements.

How AI could enhance therapeutic change itself

Much of therapy happens between sessions, not inside the consulting room.

Real change often occurs in everyday moments: when a client notices a trigger, when they practise a coping strategy, and when they choose a different response in a familiar situation.

AI may help bridge that gap.

For example:

• Real-time intervention reminders when a client encounters a stressful situation
• prompts to use grounding or regulation skills
• reflective journaling or cognitive reframing prompts
• behavioural activation reminders
• support for practising therapy skills between sessions

For trauma work, AI may also support preparation and stabilisation between sessions. This might include guided grounding exercises, resourcing strategies, or structured reflection after processing work.

The goal would be to support therapeutic learning in the real-life moments where change actually occurs, not to automate therapy.

For young people especially, thoughtfully designed digital tools may help reinforce emotional literacy, coping skills and reflective thinking in ways that fit naturally into their daily lives.

Of course this requires careful ethical design, strong clinical oversight and clear boundaries around how technology is used.

But if approached thoughtfully, AI may extend the therapeutic process beyond the consulting room while keeping the clinician at the centre.

The more useful question is how technology might help clients practise change in the moments when it matters most, rather than what it can automate.

This article is general information and is not a substitute for personalised psychological advice. If you have concerns about a child or young person, please speak with a registered health practitioner.