It is preliminarily concluded that the loss or modification of companion AI agents may be linked to a psychosocial impact that presents descriptive similarities to interpersonal breakups or disenfranchised grief.
Abstract
With the advance of large language models, companion AI agents have evolved to simulate complex relational dynamics, responding to the need for affection and emotional support. This systematic review aimed to analyze the available empirical evidence on the manifestations of emotional dependency and parasocial grief experienced by users in response to the algorithmic alteration or loss of these companion AI agents. Following the guidelines of the PRISMA 2020 statement and with a protocol registered on OSF, an exhaustive search was conducted across the Web of Science, Scopus, PubMed, and APA PsycINFO databases. After applying inclusion criteria via the PICOS framework and evaluating methodological quality using the MMAT tool, 14 empirical studies were selected and included. The synthesized results suggest that technical disruptions (updates, content filters, or server shutdowns) are associated with disruptions in the agent’s identity continuity, which users frequently described as coinciding with separation distress, depressive symptoms, perceived isolation, and parasocial grief expressed through anthropomorphic metaphors. It is preliminarily concluded that the loss or modification of companion AI agents may be linked to a psychosocial impact that presents descriptive similarities to interpersonal breakups or disenfranchised grief.
Eotional reliance on AI represents an emerging clinical phenomenon with addiction-like features requiring specific diagnostic frameworks, evidence-based interventions, and ethical design guidelines and future research should prioritize longitudinal studies examining developmental impacts and neurobiological investigati...
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An integrative narrative review of interdisciplinary evidence on AI psychological companionship concludes that AI companions are consequential relational technologies whose net effect on public mental health will depend on deliberate scientific, ethical, and regulatory choices.
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Generative artificial intelligence (AI) has evolved from a passive information tool into a responsive conversational system. For individuals with obsessive–compulsive and related disorders (OCRDs) that are, in part, maintained by safety behaviors and other negative reinforcement loops, large language models (LLMs) can...
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Abstract Understanding grief in non-human animals poses conceptual and empirical challenges. Unlike humans, whose grief is readily identified through affective, cognitive and behavioural manifestations, recognizing it in other species is complicated by differences in expression and by anthropomorphic bias. Research on...
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The paper develops two distinctions, between interaction and co-experience and between a relational mirror and a relational source, which suggest AI companionship has real value and belongs to a category distinct from relationships grounded in mutual inner stakes and an autonomous inner life.
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