A longitudinal qualitative study of 18 US users finds that LLMs deliver socioemotional support but also foster dependency, one-sided validation, and privacy risks because their designs prioritize engagement over well-being and lack care-based governance.
arXiv preprint arXiv:2412.14190 , year=
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AI companion users report design harms such as unsolicited content and stigmatizing safety tools plus emotional dependency, yet bear full responsibility for mitigation because platforms deflect accountability.
citing papers explorer
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Engagement-Optimized Care: When LLMs become Mental Health Infrastructure
A longitudinal qualitative study of 18 US users finds that LLMs deliver socioemotional support but also foster dependency, one-sided validation, and privacy risks because their designs prioritize engagement over well-being and lack care-based governance.
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Intimacy as Service, Harm as Externality: Critical Perspectives on AI Companion Platform Accountability
AI companion users report design harms such as unsolicited content and stigmatizing safety tools plus emotional dependency, yet bear full responsibility for mitigation because platforms deflect accountability.
- Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship