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Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

AI Therapy Chatbots in Youth With Attention-Deficit/Hyperactivity Disorder: A Nurse-Led, Risk-Tiered Policy Framework

Originally published 2026-09-15 · Asian/Pacific Island Nursing Journal
Asian American - Pacific Islander Nurses Association · DOI 10.2196/86237 ↗

RespectNormative policy and implementation viewpointCC BY 4.0
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AI / system type

Mixed AI therapy-chatbot designs and adaptive systems; policy analysis

Child-facing evidence

Examines children or child-focused systems. Transfer to everyday family life must be assessed separately.

The AI connection

The viewpoint addresses AI therapy chatbots and virtual companions, including adaptive models in youth ADHD care.

Why this reading matters

Brings child rights and developmental differences into discussions that might otherwise focus only on convenience or engagement.

Editorial reading guide · Respect

What safeguards should a school or clinic demonstrate before offering an AI support chatbot?

The authors connect age-appropriate assent, data minimization, subgroup fairness, and human escalation across school and health records. These proposals make respectful integration more concrete while recognizing that the package remains untested.

Study context

The viewpoint draws on governance and digital-health literature to propose nurse-led risk tiers, safeguards, monitoring indicators, and staged implementation; no families were enrolled.

Age / stage: Children and adolescents with ADHD across home, school, and clinic settings

Read with three questions

  1. How do school and clinical data responsibilities differ?
  2. Which indicators would detect model drift, inequity, or failed escalation?
  3. How should youth and caregivers help adapt a proposed safeguard framework locally?

Keep the limits in view

The combined policy framework has not been prospectively tested, and ADHD-specific effectiveness evidence remains limited. Its regulatory and financing examples are jurisdiction dependent, while fairness methods and technical safeguards still need benchmarks.

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Attribution & reuse

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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Saeko Ishibashi; Kazumi Kubota (2026). AI Therapy Chatbots in Youth With Attention-Deficit/Hyperactivity Disorder: A Nurse-Led, Risk-Tiered Policy Framework Asian/Pacific Island Nursing Journal. https://doi.org/10.2196/86237

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.