Jul 2026· The International Journal of Design Management and Professional Practice· 0 citations
TL;DR
This review argues for expanding the social role of AI from that of a companion to that of a catalytic mediator so that AI can support more diverse H–H social relationships.
Abstract
While artificial intelligence (AI) is increasingly being adopted to mitigate social isolation, existing research has predominantly examined human–AI (H–AI) companionship, potentially overlooking the risk that AI agents are being used as a substitute for authentic human-to-human (H–H) social connections. This scoping review investigates the relatively underexplored domain of AI as a catalytic mediator designed to promote H–H social connections. Guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta‑Analyses) and study selection process, a total of 225 studies published between January 2021 and October 2025 were initially retrieved, of which five were ultimately selected for analysis. By examining empirical studies on AI-mediated H–H social connections, this study explores the current state of research, identifies design implications, and then develops preliminary design guidelines for enhancing the quality of H–H social connections. The findings reveal that the reviewed studies frequently exhibit structural limitations, such as a reliance on dyadic relationships, insufficient reciprocal support mechanisms for vulnerable populations, and a lack of exit strategies. Ultimately, this review argues for expanding the social role of AI from that of a companion to that of a catalytic mediator so that AI can support more diverse H–H social relationships.
The findings show that AI is not perceived as socially neutral but instead acquires racial meanings associated with credibility, authority, and capability, demonstrating how social categories shape perceptions of novel technological entities beyond their underlying algorithmic properties.
M. Gamez-Djokic, Adam Waytz· Journal of Personality and S...· 0 citations
An AI-enabled lifecycle of Creation, Transformation, Transmission, Evaluation, Evaluation, and Governance is proposed and an AI-eWOM fit perspective is developed and a TCCM-organized research agenda identifies priorities for future research.
A. Joyal· Journal of business and mana...· 0 citations
This study proposes a Four-Dimensional Integrative Conceptual Framework (Ontological-Agency, Psycho-Social, Epistemic-Democratic, and Governance-Ethical) and confirms five analytical propositions, including the "Generative Paradox" and the "Dual Attributional Mechanism" regarding anthropomorphism.
J. Raharjo, Vanessa Alpha Z.D.R· HUMAN: Journal of Social Hum...· 0 citations
It is demonstrated that ethical AI encourages knowledge sharing most effectively when synchronized with a supportive, rather than perfectionistic, work culture, and that ethical AI encourages knowledge sharing most effectively when synchronized with a supportive, rather than perfectionistic, work culture.
Byung-Jik Kim, Yeon-Jun Choi, Julak Lee· Humanities and Social Scienc...· 0 citations
It is found that individuals are generally reluctant to cooperate with AI possessing partial decision‐making authority, and this reluctance is shaped by perceived AI perspective‐taking, and it is suggested that psychologically anthropomorphic design may foster more effective human–AI interaction.
Xu-Yao Wu, Ye Li, Rui-Ning Wang et al.· European Journal of Social P...· 0 citations
This review synthesizes recent empirical literature within a tripartite framework organized around the core pathways along which AI shapes social biases: AI design, lay beliefs about how AI operates, and processes of social evaluation and attribution.
Phyliss Jia Gai· Current Opinion in Psycholog...· 0 citations
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