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

Jing Wen Hung , Charlotte K.Y. Lee , K.T.A. Sandeeshwara Kasturiratna, Andree Hartanto
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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.
人工智能(AI)的准社会关系:收益和风险的系统回顾
人工智能(AI)的进步已经将人工智能系统转变为交互性和关系性越来越强的代理,这引发了人们对人工智能系统形成的感知亲密感和互惠感的后果的质疑。本系统综述综合了人工智能在不同人工智能主体和背景下的准社会关系的益处和风险的经验证据。根据PRISMA的指导方针,使用叙事专题分析确定和分析了39个经验记录。通过这项研究,确定了人工智能准社会关系的五个关键好处,即个人发展和适应功能、情感支持、社会需求满足、享受和娱乐、社区参与和社会归属感。然而,这些感知到的关系也有风险,包括商业说服和消费者影响、人际关系的转移、情感依赖、隐私和数据利用问题,以及行为成瘾和强迫性。该审查还强调了研究差距,包括缺乏对人工智能副社会关系的一致定义和衡量,并强调需要更大的理论清晰度、纵向研究和负责任的人工智能设计,以最大限度地提高效益,同时减轻对用户的潜在危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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