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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

Shalini Roychaudhary

Assistant Professor, Department of Applied Psychology, Dibrugarh University, Assam, India. Google Scholar More about the auther

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.

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Shalini Roychaudhary @ roychaudharyshalini@gmail.com

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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