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| Published: May 15, 2026
Exploring Algorithms and Affection a Psychological Interplay of AI-Human Relationships in Generation Z and Generation Alpha
Assistant Professor, Department of Applied Psychology, Dibrugarh University, Assam, India.
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DIP: 18.01.100.20261402
DOI: 10.25215/1402.100
ABSTRACT
Artificial Intelligence (AI) systems such as conversational agents, social chatbots, and virtual companions are increasingly integrated into young people’s social environments. Generation Z and Generation Alpha interact with AI not only as tools but also as relational partners, raising crucial questions about emotional dependency, social development, and psychological well-being. To review recent psychological and developmental literature on AI-human relationships among Generation Z and Generation Alpha, focusing on emotional attachment, dependency risks, social cognition, and identity formation. A narrative literature review synthesised research from psychology, developmental science, human-computer interaction, and related fields. Emphasis was placed on empirical studies examining emotional dependency, attachment, and psychosocial outcomes of AI interaction among youth. While AI provides emotional support and companionship that can, in some contexts, benefit psychosocial well-being, an emerging body of research highlights potential psychological risks. These include increased emotional dependence, reduced human social interaction quality, unrealistic relational expectations, and developmental displacement of interpersonal skills. Psychologically informed design, effective boundaries, and further research are needed to ensure AI supports rather than undermines youth social development.
Keywords
Artificial Intelligence, Human-AI Relationships, Generation Z, Generation Alpha, Emotional Dependency, Youth Psychology
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Roychaudhary, S.
Received: March 25, 2026; Revision Received: May 11, 2026; Accepted: May 15, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.100.20261402
10.25215/1402.100
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Published in Volume 14, Issue 2, April-June, 2026
