Debate: Conversational AI and young people's mental health - friend or foe? - more than a 'good or bad' story: a self-determination theory approach to conversational AI and adolescent well-being.
Jul 2026· Child and Adolescent Mental Health· Vol 31, pp. 235-237· 1 citation· 6 references
Medicine
TL;DR
The role conversational AI plays in adolescents' development is unlikely to be universally positive or negative for all adolescents, but instead depends on how, why, and in which context these technologies are used, highlighting the need for nuanced research and developmentally sensitive design.
Abstract
The rapid adoption of conversational AI among adolescents has sparked growing debate about its implications for development and well-being. This article applies a Self-Determination Theory lens to explore how and under which conditions adolescents' conversational AI usage supports or frustrates their basic psychological needs for competence, relatedness, and autonomy. Conversational AI may enhance competence through learning assistance, relatedness through emotional and relational support, and autonomy through increased independence. At the same time, it may also promote the risk of superficial competence, displace human relationships, and constrain authentic autonomy. Overall, the role conversational AI plays in adolescents' development is unlikely to be universally positive or negative for all adolescents, but instead depends on how, why, and in which context these technologies are used, highlighting the need for nuanced research and developmentally sensitive design.
This work examined AI-related discourse on r/teenagers from January 2023 to July 2026 using validated keyword-based retrieval and a human-in-the-loop, LLM-assisted thematic analysis to position adolescent AI use not simply as technology adoption, but as an emerging negotiation over AI's place and boundaries in everyday...
Conversational AI engagement was positively associated with depressive symptoms and also showed associations with anxiety and insomnia, and mixed-method integration suggested that higher reliance may reflect a preference for immediate, low-stakes support during distress alongside active awareness of limits and risks.
HK Y. Lo, PK S. Sze, MC T. Ku et al.· International Journal of Neu...· 0 citations
Conversational AI has rapidly become integrated into everyday life, with many individuals using large language model-based systems, such as ChatGPT, Gemini, and Claude, for education, productivity, health information, decision-making, emotional support, and companionship. As patients increasingly incorporate conversati...
Alexandre Hudon, Venkat Bhat, John-Jose Nunez et al.· JMIR Medical Education· 0 citations
It is found that PST is shaped by identity development and demographic factors, and the proposed Human-AI Self-Talk (HAIST) framework is proposed to guide the design of non-clinical AI companions to support learning and self-sufficiency.
Ann-Kareen Gedeus, N. Wagener, Ying-Xuan Li et al.· Proceedings of the 14th Nord...· 0 citations
Generative artificial intelligence is becoming embedded in children’s and adolescents’ learning, yet guidance often oscillates between uncritical adoption and restrictive control. This mini review applies self-determination theory to ask how autonomy-supportive guidance from families and schools might foster responsibl...
It is argued that preventing lasting harm to young adults'dvelopment is paramount, and implications for rethinking AI chatbot dependence grounded in this understanding are provided.
Ashlee Milton, L. Ajmani, Amy K. Heger et al.· 1 citation
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