Parasocial relationships with artificial intelligence (AI): A systematic review of benefits and risks

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Authors: Jing Wen Hung, Charlotte K.Y. Lee, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto
Cited by: 7
References: 76

Abstract

Advances in artificial intelligence (AI) have transformed AI systems into increasingly interactive and relational agents, raising questions about the consequences of the perceived sense of intimacy and reciprocity formed with AI systems. The present systematic review synthesised empirical evidence on the benefits and risks of AI parasocial relationships across diverse AI agents and contexts. Following PRISMA guidelines, 39 empirical records were identified and analysed using narrative thematic analysis. Through this, five key benefits of AI parasocial relationships were identified, namely personal development and adaptive functioning, emotional support, social needs fulfilment, enjoyment and entertainment, and community participation and social belonging. However, these perceived relationships also carry risks, consisting of commercial persuasion and consumer influence, displacement of human relationships, emotional dependence, privacy and data exploitation concerns, and behavioural addiction and compulsivity. The review also highlights research gaps including the lack of consistent definition and measurement of AI parasocial relationships, and underscores the need for greater theoretical clarity, longitudinal research, and responsible AI design to maximise benefits while mitigating potential harms for users.

Fields of Study & Subjects

AI in Service Interactions Digital Mental Health Interventions Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Computers in Human Behavior Artificial Humans
Publisher
Elsevier BV
Volume
8
Pages
100323–100323
Publication date
1 May 2026
Language
EN