Currently submitted to: Journal of Medical Internet Research
Date Submitted: Aug 4, 2026
Open Peer Review Period: Aug 4, 2026 - Sep 29, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Young People’s AI Use for Social and Emotional Purposes: a Youth-led overview of harms and benefits
ABSTRACT
Background:
The use of General Purpose Conversational Agents (GPCAs) for social and emotional purposes has become commonplace among adolescents and young adults (AYAs, ages 12–25), yet a significant gap remains in understanding how AYAs themselves perceive and experience its harms and benefits.
Objective:
This qualitative study addresses this gap by centering AYAs’ voices to better understand their use of AI for social and emotional purposes and to provide a first version of an AYA-centered overview of harms and benefits, to inform families, providers and policymakers.
Methods:
We conducted semi-structured interviews and focus groups with 48 AYAs from diverse backgrounds (ages 14–22 years) living in the US.
Results:
Findings revealed a wide range of use cases, including emotional support, social skills guidance, relationship advice, and health guidance. Perceived benefits included privacy, accessibility, directness, and personalized advice, often used as a substitute for unavailable peers/adults or due to barriers to professional care. Key risks identified by AYAs were becoming socially, emotionally, and cognitively dependent on AI, receiving unhelpful, inaccurate, or unempathetic responses, and the erosion of human-to-human relationships, particularly related to AI’s tendency toward sycophancy. While some AYAs disclosed AI use freely, the majority kept social and emotional AI use secret from parents, peers, and teachers, suggesting it remains a taboo topic.
Conclusions:
These findings demonstrate the complex ways AYAs are navigating these technologies and the need for future AI model- and product policies to be co-developed with AYAs to ensure responsible innovation and meaningful support.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.