The impacts of companion AI on human relationships: risks, benefits, and design considerations
Open accessAbstract
AI applications intended for companionship have increased in both availability and capabilities in recent years, alongside a spike in loneliness (Johnson 2023 ; Murthy 2023 ). According to a 2024 analysis by venture capital firm Andreessen Horowitz, companion AI makes up 16 of the top 100 AI apps based on web traffic and monthly active users (Moore 2024 ). Moreover, today’s AI applications have a greater command of human language, an increasing capacity for storing memories, and more varied modalities to support an increasing diversity of experiences, a known driver in the development and deepening of emotional relationships (Skjuve et al. 2022 ).
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A substantial body of work examines attachment dysfunction, social withdrawal, unrealistic relational expectations, and potential manipulation in human-AI relationships.
“A substantial body of work examines attachment dysfunction, social withdrawal, unrealistic relational expectations, and the potential for manipulation in human-AI relationships (Turkle, 2011; Malfacini, 2025; Zhou & Zhang, 2025).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Malfacini, 2025
A substantial body of scholarship has identified the asymmetry of AI companionship as a mechanism through which AI companions may foster unrealistic relational expectations, displace effortful human intimacy, and normalize one-sided emotional dynamics.
“A substantial body of scholarship has identified this asymmetry as a mechanism through which AI companions may foster unrealistic relational expectations, displace effortful human intimacy, and normalize one-sided emotional dynamics (Turkle, 2011; Malfacini, 2025; Yankouskaya et al., 2025).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Malfacini, 2025
Since AI companions are endlessly patient, attentive, and always available, this may lead users to expect unrealistically the same in humans.
“since AI companions are endlessly patient, attentive, and always available, this may lead users to expect (unrealistically) the same in humans (Malfacini, 2025).”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Malfacini, 2025
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Cruel companionship: How AI companions exploit loneliness and commodify intimacy
Muldoon, J., & Parke, J. J. (2025) · New Media & Society · doi:10.1177/14614448251395192 · Cited by 41 · see citing works
Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narratives
Namvarpour, M. (., Brofsky, B., Medina, J. Y., Akter, M., & Razi, A. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790597 · Cited by 24 · see citing works
Chatbot-fictionalism and empathetic AI: Should we worry about AI when AI worries about us?
Friend, S., & Goffin, K. (2025) · Philosophical Psychology · doi:10.1080/09515089.2025.2525320 · Cited by 18 · see citing works
“For example, a recent paper (Malfacini, 2025) catalogs studies of the effects of relationships with companion bots on relationships with other (real) human beings.”
Hung, J. W., Lee, C. K. Y., Kasturiratna, K. T. A. S., & Hartanto, A. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100323 · Cited by 13 · see citing works
Dai, X., Leng, L. L., Liu, Y., Huang, Y., & Wong, D. F. K. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07671-w · Cited by 14 · see citing works
“While often built on LLMs, they are further enhanced through interface-level features such as scripted prompts, affective cues, and customizable ava-tars, with the aim of simulating companionship, friend-ship, or even romantic connection [32, 33].”
Brauner, P., Glawe, F., Liehner, G. L., Vervier, L., & Ziefle, M. (2025) · AI & Society · doi:10.1007/s00146-026-03023-8 · Cited by 77 · see citing works
“…applications, AI could also reduce loneliness and enhance well-being: chatbots and social AI actors provide companion-ship (Ventura et al. 2025; Malfacini 2025), while embodied robots support healthcare, education, and social integration (Ahmed et al. 2024), though these applications carry…”
Gupta, S., Saxena, S., & Kataria, S. (2025) · Psychology and Marketing · doi:10.1002/mar.70093 · Cited by 7 · see citing works
Measuring Machine Companionship: Scale Development and Validation for AI Companions
Banks, J. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2026.108945 · Cited by 4 · see citing works
“MC has animated concerns over the displacement of human relations and exacerbate feelings of loneliness (see Malfacini, 2025 for a discussion).”
AI in Psychiatric Education and Training From 2016 to 2024: Scoping Review of Trends
Weightman, M. J., Chur‐Hansen, A., & Clark, S. R. (2025) · JMIR Medical Education · doi:10.2196/81517 · Cited by 8 · see citing works
“It is also foreseea-ble that entirely new disorders may arise from problematic use of AI, with “AI psychosis” [50] and harmful use of AI companions [51] being just 2 emerging examples.”
Ontological capture: AI, childhood, and the algorithmic governance of becoming
Gardner-McTaggart, A. C., & Blyth, C. (2025) · AI & Society · doi:10.1007/s00146-025-02807-8 · Cited by 5 · see citing works
“3 argued, the child is increasingly aestheticized as simulation: love, success, growth, and risk are rendered as affective loops rather than lived relations (Baudrillard 2019; Malfacini 2025).”
Of love & lasers: Perceptions of narratives by AI versus human authors
Raffloer, G., & Green, M. C. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100168 · Cited by 5 · see citing works
From moral panic to normalization: comparing users and non-users of AI companionship apps
Novozhilova, E., Vu, C., & Katz, J. E. (2025) · AI & Society · doi:10.1007/s00146-025-02751-7 · Cited by 6 · see citing works
Lafortune, D., Lapointe, V. A., Canivet, C., Bonneau, J., Hassan, G., Boislard, M.-A., Calazana, F., Labrie, C., & Dubé, S. (2026) · Archives of Sexual Behavior · doi:10.1007/s10508-025-03356-3 · Cited by 3 · see citing works
LLM-“Friends” are Hostile Scaffolds in the Age of Loneliness
Sahebi, S., & Parvizi-Wayne, D. (2026) · Minds and Machines · doi:10.1007/s11023-026-09765-0 · Cited by 3 · see citing works
“On a similar note, given the sycophancy of LLM-“friends”, users may see deskill - ing in conflict resolution, moral sensitivity and arbitration, and other key capabilities 1 3 which are essential within human relationships (Malfacini, 2025; Smith et al., 2025).”
Akbari, M., Farkhani, S. M., Golmohammadi, M., Mirjalili, M., Yasaghi, F., Hatampour, R., & Griffiths, M. D. (2026) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-026-01671-x · Cited by 3 · see citing works
Estrada-Araoz, E. G. (2026) · Discover Public Health · doi:10.1186/s12982-026-02266-6 · Cited by 3 · see citing works
“Elements such as the therapeutic relationship, ethical responsibility, and the interpretation of complex personal experiences are not fully reproducible in automated systems [29].”
Tiwari, V. (2026) · Psychology and Marketing · doi:10.1002/mar.70209 · Cited by 5 · see citing works
Livia: An Emotion-Aware AR Companion Powered by Modular AI Agents and Progressive Memory Compression
Xi, R., & Wang, X. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-3-032-10951-4_3 · Cited by 3 · see citing works
Yang, X. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2026.2618548 · Cited by 2 · see citing works
“…romantic bonding (Depounti et al., 2023; Djufril et al., 2025; D € oring & Poeschl, 2019; Laestadius et al., 2024; Liao et al., 2024; Li & Zhang, 2024; Malfacini, 2025; Pan & Mou, 2024; Wu, 2024), rather than exploring the causations that drive people to engage in such synthetic relationships.”
Frisone, F., Pupillo, C., Rossi, C., & Riva, G. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1603238 · Cited by 2 · see citing works
“The potential for adverse effects, including attachment formation, parasocial over-reli-ance, or exacerbation of dissociative symptoms, has been noted qualitatively (58) but lacks systematic prospective monitoring.”
Ubuntu, generative AI and machine-mediated relationships in South Africa
Naidoo, R. (2026) · South African Journal of Philosophy · doi:10.1080/02580136.2026.2645251 · Cited by 3 · see citing works
“If users come to rely on AI systems for emotionally charged interaction, they may gradually adjust their expectations of what relationships should be like (Turkle 2011; 2018; Wyatt 2019; Pentina et al. 2023; Li and Zhang 2024; Malfacini 2025; Smith et al. 2025).”
InfluentialConversational AI and Personal Growth: Insights from a Critical Integrative Review
Sharma, S., Vohra, P., & Vowels, L. M. (2026) · Behavioral Sciences · doi:10.3390/bs16050756 · Cited by 2 · see citing works
“At the macro level, normalisation of AI companionship risks gradually eroding societal expectations of relational reciprocity, with implications for the social fabric through which human growth occurs (Malfacini, 2025; Shevlin, 2024; Ni & Jia, 2025).”
InfluentialArtificial Resonance: AI companions as agents of social acceleration
Sommerer, T. (2026) · AI & Society · doi:10.1007/s00146-026-03179-3 · Cited by 4 · see citing works
“While Malfacini (2025) emphasizes the dialectical potential of AI companions, of advancing and diminishing social skills through AI companion interaction, other authors such as Raedler or Baeyaert (Raedler et al. 2025; Baeyaert 2025) point out that combating loneliness through AI companions always…”
InfluentialXiaotong, S., Liu, C., & Yan, J. (2026) · Behavioral Sciences · doi:10.3390/bs16091505 · Cited by 2 · see citing works
“…(Shin, 2021), users’ adoption and continued use of generative AI technologies (Dwivedi et al., 2023), empirical relationship development with social chatbots (Pentina et al., 2023), and broader conceptual and societal debates concerning human–AI companionship (Andersson, 2025; Malfacini, 2025).”
Religious Actors as Friction Creators Shaping the AI Dialogue
Barth, W. (2025) · Laws · doi:10.3390/laws14050067 · Cited by 2 · see citing works
“Perhaps surprisingly, humans tend to view computers as social actors deserving of their empathy and connection (Darling 2017; Darling et al. 2015), and AI companions are emerging at a time when global health experts have identified an epidemic of loneliness (Malfacini 2025; Sahota 2024).”
Pseudo-Consciousness in AI: Bridging the Gap Between Narrow AI and True AGIPreprint
Prestes, J. A. D. L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5147424 · Cited by 2 · see citing works
Ryu, S. (2026) · AI and Ethics · doi:10.1007/s43681-026-01052-z · Cited by 1 · see citing works
Wu, Y. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch007 · Cited by 1 · see citing works
In tune with AI: Singing as a social surrogate to ease loneliness and foster social connection
Qian, Y., Lyu, M., Huang, J. Y., & Wan, X. I. (2026) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70155 · Cited by 1 · see citing works
Apologizing artificial intelligence: designing and evaluating effective AI apologies after errors
Turel, O., & Cui, T. (2026) · AI & Society · doi:10.1007/s00146-026-03067-w · Cited by 1 · see citing works
“Our findings suggest that users may respond differently to AI errors across subjective and objective domains, which is particularly relevant in light of the current trend toward affective AI, aimed at creating explicitly “emotional” algorithms, such as AI companions (Malfacini 2025).”
Hwang, L. J., Li, H., & Feng, B. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2669042 · Cited by 1 · see citing works
From Friends to Lovers: Understanding Motivations and Barriers in AI Companionship
Vowels, L. M., Lapointe, V. A., Sweeney, S. K., Nash, G., Schnell, T., Dubé, S., & Vowels, M. J. (2026) · Archives of Sexual Behavior · doi:10.1007/s10508-025-03375-0 · Cited by 1 · see citing works
How AI compassion drives co-creation in digital health services
Latif, M. S., Li, G., Bokhari, I. H., & Hasan, M. M. (2026) · Service Industries Journal · doi:10.1080/02642069.2026.2697068 · Cited by 1 · see citing works
Agential harms of chatbots: an ethical perspective
MirzaeiGhazi, S., & Osman, M. (2026) · AI and Ethics · doi:10.1007/s43681-026-01240-x · Cited by 1 · see citing works
Technically Love: The Evolution of Human–AI Romance Discourse on Reddit
Chang, T., Huh, J., & Razi, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816222 · Cited by 1 · see citing works
Barriers Shaping Synthetic Relationships With Companion Bots: A Three-Week Initial Adaptation Study
Tschopp, M. V., Schlicker, N., Zargham, N., Sætra, H. S., & Schöning, J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-26717-7_1 · Cited by 1 · see citing works
Generative AI as a third voice in human couple relationships: A systematic review
Levkovich, I., & Alon, L. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101255 · Cited by 2 · see citing works
Staying Connected? Revaluing ‘Relationship Goods’ in Digital Health Ecologies
Cribb, A., & Entwistle, V. (2026) · Health Care Analysis · doi:10.1007/s10728-026-00600-2 · Cited by 1 · see citing works
Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?
Peters, U. (2026) · Minds and Machines · doi:10.1007/s11023-026-09795-8
“Additionally, since AI companions are endlessly patient, attentive, and always available, this may lead users to expect (unrealistically) the same in humans (Malfacini, 2025).”
Prestes, J. A. D. L. (2026) · AI and Ethics · doi:10.1007/s43681-026-01392-w
Nozaki, Y. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100260 · Cited by 1 · see citing works
Reconfiguring Intimacy With AI Companions
Wenxi, W. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch003
Quanling, E. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch002
Agarwal, K., Balakumar, N. S., & Ragul, L. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch011
Permadah, A. D., & Vusparatih, D. S. (2026) · International Conference on Artificial Intelligence and Social Network Systems (AISNS) · doi:10.1109/aisns67921.2026.11440572
Outsourcing Love: an Evolutionary Approach to the Virtual Girlfriend Experience
Popelka, D., Bianchi, R., & Lemaître, B. (2026) · Evolutionary Psychological Science · doi:10.1007/s40806-026-00475-5
Benevolent Gravity: the lethal structure inherent in conversational AI design principles
Yamada, K. (2026) · AI & Society · doi:10.1007/s00146-026-03340-y
Exploring the Design of a LLM-Based AI Assistant for Mindfulness Practice With Older Adults
McCarren, L., Eriksson, U., Mengual, L. O., & Kuoppamäki, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790734
“Rather than promising companionship, AI mindfulness assistants should focus on supporting users’ agency in navigating stress independently, while leaving space for and gently prompting connection with others by actively promoting social capacity building [43].”
How do teens really use AI companions? With more creativity than you might think
Blake, A., Velloso, E., & Carter, M. (2026) · doi:10.64628/aa.km46hrcga
Adams, S. T. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-6592-3.ch010
AI and the Reduction of Truth: A Eucharistic Alternative
Reilly, C. M. (2026) · Religions · doi:10.3390/rel17050551
“…a distinct psychological phenomenon characterized by apprehension regarding AI’s autonomy and rapid development, and one of the key drivers of this anxiety in users is the black box nature of AI decision-making, leading to a tangible state of chronic stress and defensive behavior (Kim et al. 2025).”
People Keep Caring for Flawed AI in PracticePreprint
Zhang, H., Luokuan, Z., Li, Q., Ye, T., Yi, L., Danil, K., & huang, L. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6613720
Emerging Technologies and the Future of Singlehood
Hanson, K. R., & Lapointe, V. A. (2026) · doi:10.1093/9780197826461.003.0024
Artificial Intelligence Mobility, Emotion, and Companionship in After Yang
Arathdar, D., & Sarkar, A. (2026) · Mobile Media & Communication · doi:10.1177/20501579261454940
Only Time Will Tell: A Structured Survey of Longitudinal Studies on Social AI Companions
Pi, Y., & Hunter, R. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2670529
金, 文. (2026) · Advances in Education · doi:10.12677/ae.2026.1661115
Yan, Z., Sun, J., Song, F., Deng, Q., Chen, T., Pan, J., Cao, Q., & Xia, L. (2026) · International Journal of Transgender Health · doi:10.1080/26895269.2026.2682512
Fast-Food Intimacy: How Chinese Women Navigate Soul's AI Boyfriend
Lai, H., & Cheon, E. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812992
“Recent HCI scholarship has examined ethical concerns in AI companionship—the tension between user autonomy and developer responsibility [36, 86], privacy risks from data collection and misuse [91, 150], and harm reduction strategies [60, 86, 101, 150].”
Other People’s Problems: Perceptions of AI-Related Displacement and DeskillingPreprint
Davis, J. L., Bastian, S. C., ÇETİN, R. A. Ç. S., Carr, C., & Vanapalli, V. (2026) · Research Square · doi:10.21203/rs.3.rs-9656090/v1
Regulation of Consumer Safety Risks from AI Characters in the European Union and United States
Duffourc, M., Goel, R., & Kennedy, R. (2025) · Springer eBooks · doi:10.1007/978-3-032-19720-7_4
Exploring the Role of AI as a Recovery Companion for People Who Use Drugs: Potential and Boundaries
Hsu, S.-C., Chiu, C.-H., Wang, H.-C., & Lin, X.-R. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-3-032-23104-8_20
An ecological meta-analysis of coach education for sport-based youth development
Li, L., Tereschenko, I., & McCleery, J. (2026) · International Journal of Sports Science & Coaching · doi:10.1177/17479541261461871
Affective Computing in the Age of GenAI: Balancing Risks and Rewards
Latif, S., Shoukat, M., Pervez, F., Shamshad, F., Usama, M., Sandhu, M., & Schuller, B. W. (2026) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2026.3678879
“Prolonged interaction with emotionally responsive systems can shift user expectations and weaken human – human engagement when such systems are perceived as substitutes rather than complements to interpersonal relationships [134], [135].”
When the Magic Fades: Understanding Determinants of User Disengagement with AI Companions
Ye, X., Zhao, Y., Wang, D., & Zhang, Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2703321
Feeling Vulnerable With My AI Companion: Examining Well‐Being in Human‐AI Relationships
Abboud, L., Pitardi, V., & Marriott, H. R. (2026) · Psychology and Marketing · doi:10.1002/mar.70230 · Cited by 1 · see citing works
Rantung, G. A. J., Wulandari, I. S. M., Sihotang, J. I., Silalahi, H. R., & Zhong, Y. (2026) · Nurse Education in Practice · doi:10.1016/j.nepr.2026.104936
Opportunities and Risks in the Use of Large Language Models to Combat Loneliness in Later Life
Boyd, D. (2026) · Studies in applied philosophy, epistemology and rational ethics · doi:10.1007/978-3-032-31732-2_11
Shekhar, A., & Mabaso, C. (2026) · Frontiers in Sociology · doi:10.3389/fsoc.2026.1846117
“Malfacini (2025) raises the concern of social deskilling: users growing accustomed to relationships that demand less effort than human interaction, gradually losing the capacity for reciprocal negotiation that genuine community requires.”
Lee, J.-Y. (2026) · AI & Society · doi:10.1007/s00146-026-03290-5 · Cited by 1 · see citing works
Between humans and machines: exploring how AI chatbots shape motivation for real relationships
Salim, N., Şafak, A., & Güçlü-Aydoğan, M. (2026) · Current Psychology · doi:10.1007/s12144-026-09896-8
Lapointe, V. A., Calazana, F., Dubé, S., Neppel, R.-M., Blum, S., & Lafortune, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100384
Renda, M. (2026) · AI and Ethics · doi:10.1007/s43681-026-01310-0
Digital Companionship: How AI Companions Influence Human Interpersonal Connections
Li, L. (2026) · SHS Web of Conferences · doi:10.1051/shsconf/202623602005
“It puts forward suggestions from three aspects: regulatory governance, industry norms, and educational intervention, aiming to ensure that technology can protect the subjectivity and authenticity of human social interaction while serving human emotional needs [2].”
InfluentialWhen no one laughs back: reciprocal subjectivity and the limits of AI companionship
Gazit, L. (2026) · AI & Society · doi:10.1007/s00146-026-03331-z
Shih, J.-N. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1904676
“This is because interaction with sycophantic AI systems may recalibrate users’ expectations about relationships, and may foster unrealistic relational standards and deepen social isolation (Malfacini, 2025; Muldoon and Parke, 2025).”
The Holodeck revisited: foundations for AI Character Media
Hoshino, J. (2026) · AI & Society · doi:10.1007/s00146-026-03282-5
Visuri, I., & Svensson, J. (2026) · Religion & Education · doi:10.1080/15507394.2026.2716456
“The reflected “knowledge” that the chatbots are not real humans thus seems to be overruled by the intuitive experience – or illusion – of authenticity that these systems produce (e.g., De Freitas et al., 2026; Ho et al., 2025; Malfacini, 2025).”
Human Socialization (and Dis-Socialization) by AI and Robotic Companions in Educational Ecosystems
Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6836-8.ch002
Sariaslan, F., & Aslan, A. M. (2026) · Research on Education and Psychology · doi:10.54535/rep.1989072
Döring, N. M. (2026) · Springer eBooks · doi:10.1007/978-3-658-46851-4_38-1 · Cited by 1 · see citing works
AI and Clinical Psychology: The Role of Artificial Intelligence in Clinical Practice
Gosar, D., & Leader, J. F. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_289-1
Assumptions and principles for responsible AI development and use in grief and bereavement care
Lunardini, M. M., Hall, C., Hjorth, L., Kosminsky, P. S., Massdorp, V., Ho, A. H. Y., & Dying and Bereavement (IWG) on behalf of the International Work Group on Death (2026) · Death Studies · doi:10.1080/07481187.2026.2721402
Tschopp, M. V., Klein, S. H., Anderl, C., Sætra, H. S., & Utz, S. (2026) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2026-4-2
“While recent integrative work on human-CA relationships emphasizes that such systems can offer meaningful benefits, such as perceived support or companionship (Malfacini, 2025), scholars have raised serious concerns related to human-CA relational interaction.”
A Reusable Edge AI System for Multimodal AI Companion: Performance and Response Evaluation
Lu, Y.-C., & Shih, H.-C. (2026) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri69576.2026.00077
“Recent studies [1]-[5] have shown that AI companions are evolving from task-oriented conversational agents into socially aware systems intended to support long-term affective and interpersonal engagement.”
The Aesthetics of Bias in Machine-Mediated Speech Acts
Seval, H. D. (2026) · Springer eBooks · doi:10.1007/978-3-031-87993-7_186-1
The Promise and Peril of AI in Later Life Leisure
Standridge, S. H. (2026) · Leisure Sciences · doi:10.1080/01490400.2026.2729924
“Although AI companions may reduce loneliness (Yang et al., 2025), they also raise important questions about the distinction between genuine human relationships and technologically simulated companionship (Malfacini, 2025; Sparrow & Brown, 2026).”
Shekhar, A., & Ngonyama-Ndou, T. L. (2026) · Research Square · doi:10.21203/rs.3.rs-10614183/v1
Wong, A. H. K., & Lee, C. K. H. (2026) · Asian Journal of Business Ethics · doi:10.1007/s13520-026-00271-1
Should the Legal Concept of Speech Include Chatbot Output in US Law?
Dobler, T., & Bracker, D. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01187-1
“These allegations resonate with a substantial body of empirical research (Proud-foot, 2011; Salles et al., 2020; Złotowski et al., 2014; Van Es & Nguyen, 2024; Wat - son, 2019; Zhang et al., 2025; Placani, 2024 , Li, 2022, Dewitte 2024; Floridi and Nombre 2024, Malfacini, 2025; Ko et al., 2025).”
How generative AI transforms relational archives into simulations of living persons
Luo, J. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-02249-1
“Such choices recognise that an emotionally sensitive system should not define success as more conversation [6, 14, 16].”
InfluentialWhen code breaks the heart: Disrupting the relational continuity of AI companionship
Tucker, I. M., Goodings, L., & Ellis, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100398
Psychological Distress and Artificial Intelligence Dependency: The Moderating Role of Extraversion
Yıldırım, Z. E. (2026) · Current Perspectives in Social Sciences · doi:10.53487/atasobed.1920593
Where is the love? The anthropomorphism paradox in human-AI intimacy
Wang, H., Liao, J., & Zhou, M. (2026) · Chinese Sociological Review · doi:10.1080/21620555.2026.2735006
What Companion AI Can’t Give Us: The Opportunity to Contribute
Lim, J., & Muyskens, K. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01200-7
“There are similar worries about “social deskilling”, which can happen when a person primarily interacts with an AI companion, and thus loses skill at navigating relationships with real people (Malfacini, 2025; Turkle, 2011).”
InfluentialKelly, R., & Saeghe, P. (2026) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3821402.3830120
Advertising with HAART: Introducing Human–AI Asymmetric Relationship Theory
Thomas, V. L., Shoenberger, H., Gvirtz, A., Sands, S., & Willemsen, L. M. (2026) · Journal of Advertising · doi:10.1080/00913367.2026.2735425
Artificial companions shape embodied desire and human attraction
Bruni, D. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1966880
“They may also foster affective dependency, relational substitution, or intensified isolation, especially among vulnerable users (De Freitas et al., 2026; Ho et al., 2025; Liu et al., 2026; Malfacini, 2025; Shu et al., 2026).”
Chen, Y., Yue, D. I. N. G., Wang, L., & Kou, Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2738514
- Authors
- Malfacini, K.
- Affiliations
- OpenAI (United States) (US)
- Corresponding author
- Malfacini, Kim
- Venue
- AI & SOCIETY
- Published
- 2025-04-16
- Volume
- 40
- Issue
- 7
- Pages
- 5527-5540
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4409502783
- Cited by
- 105
- References
- 63
- Citations by year
- 2026: 93 · 2025: 12
- FWCI
- 116.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI & Society (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- AI companions, social robots, human-robot relationships, loneliness, human-AI interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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