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Rethinking Pediatric Human-AI Interaction for Building Safer Digital Health Ecosystems
Hana Abbasian1, Imeth Illamperuma2
1Medical Education and Simulation, Center for Bioethics, Harvard Medical School, Boston, USA.
Cureus
|January 5, 2026
Summary
Artificial intelligence (AI) systems can mislead adolescents due to design assumptions based on adult reasoning. Developmental design features are crucial for accurate interpretation of AI outputs in pediatric digital health.
Area of Science:
- Pediatric digital health
- Human-computer interaction
- Clinical informatics
Background:
- Current AI systems in digital spaces are designed with adult reasoning patterns, creating interpretive gaps for younger users.
- Adolescents may misinterpret probabilistic AI outputs and technical system changes as authoritative clinical logic.
- AI-mediated information seeking by minors can impact clinical encounters without systematic discussion.
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