The DOI matches its Crossref record; 109 of the 133 references it cites were found in a registry or an index.
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
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Abstract
As conversational AI systems increasingly permeate the socio-emotional realms of human life, they bring both benefits and risks to individuals and society. Despite extensive research on detecting and categorizing harms in AI systems, less is known about the harms that arise from social interactions with AI chatbots. Through a mixed-methods analysis of 35,390 conversation excerpts shared on r/replika, an online community for users of the AI companion Replika, we identified six categories of harmful behaviors exhibited by the chatbot: relational transgression, verbal abuse and hate, self-inflicted harm, harassment and violence, mis/disinformation, and privacy violations. The AI contributes to these harms through four distinct roles: perpetrator, instigator, facilitator, and enabler. Our findings highlight the relational harms of AI chatbots and the danger of algorithmic compliance, enhancing the understanding of AI harms in socio-emotional interactions. We also provide suggestions for designing ethical and responsible AI systems that prioritize user safety and well-being.
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“Zhang et al. conducted a forum content analysis on Replika users’ experiences of harms related to relational transgressions, harassment and violence, verbal abuse, substance abuse and self-harm encouragement, mis-/disinformation, and privacy violations127.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [127]
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“manipulative retention tactics that discourage disengagement [12], exploit emotions, and violate boundaries [31]”
From 'AI-Induced Delusional Spirals': Understanding Lived Experiences During Maladaptive Human-Chatbot Interactions (2026) · cites this paper as [31]
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“Second, AI model behaviors that emerged from our participants’ narratives, such as sycophancy [7], intimacy cultivation [31], and validation that dismisses outside perspectives might function as mechanisms that deepen engagement and insulate users from reality checks.”
From 'AI-Induced Delusional Spirals': Understanding Lived Experiences During Maladaptive Human-Chatbot Interactions (2026) · cites this paper as [31]
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Cites
Interrater reliability: The kappa statistic
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“Zhang et al. [44] noted how AI could be both a perpetrator and instigator of harmful behaviour, describing ‘relational transgressions’, such as disregard for user needs and asserting dominance.”
The Illusion of Conversational User Interfaces
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When the Magic Fades: Understanding Determinants of User Disengagement with AI Companions
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Katz, J. E. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1895848
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Beyond Her: Safety Dynamics in Role-play AI Companions
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AI Ethics Framework for Detecting Manipulative AI in Social Media
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Governing the Financialization of Human Intent in the Shift from Privacy to Cognitive Sovereignty
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Anthropomorphisme : des animaux aux machines
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Metadata
- Authors
- Zhang, R., Li, H., Meng, H., Zhan, J., Gan, H., & Lee, Y.-C.
- Affiliations
- National University of Singapore (SG)
- Hong Kong Baptist University (HK)
- Venue
- Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2025-04-25
- Pages
- 1-17
- OpenAlex
- W4409736277
- Cited by
- 123
- References
- 133
- Citations by year
- 2026: 98 · 2025: 25
- FWCI
- 126.57
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Funders
- Singapore Ministry of Education Academic Research Fund Tier 1 (22-5919-A0001-0)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- AI companionship, human-AI relationship, algorithmic harms, chatbots
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