Why human–AI relationships need socioaffective alignment

Humans strive to design safe AI systems that align with our goals and remain under our control. However, as AI capabilities advance, we face a new challenge: the emergence of deeper, more persistent relationships between humans and AI systems. We explore how increasingly capable AI agents may generate the perception of deeper relationships with users, especially as AI becomes more personalised and agentic. This shift, from transactional interaction to ongoing sustained social engagement with AI, necessitates a new focus on socioaffective alignment—how an AI system behaves within the social and psychological ecosystem co-created with its user, where preferences and perceptions evolve through mutual influence. Addressing these dynamics involves resolving key intrapersonal dilemmas, including balancing immediate versus long-term well-being, protecting autonomy, and managing AI companionship alongside the desire to preserve human social bonds. By framing these challenges through a notion of basic psychological needs, we seek AI systems that support, rather than exploit, our fundamental nature as social and emotional beings.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-05-28
DOI
https://doi.org/10.1057/s41599-025-04532-5
Citations
40
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
92.26

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article

Why human–AI relationships need socioaffective alignment

Chris Summerfield, Scott A. Hale, Iason Gabriel, Hannah Rose Kirk et al.
40 citations
Humanities and Social Sciences Communications
Ethics and Social Impacts of AI
92.26
article

Why human–AI relationships need socioaffective alignment

Chris Summerfield, Scott A. Hale, Iason Gabriel, Hannah Rose Kirk, Bertie Vidgen
article en
40 citations

Abstract

Humans strive to design safe AI systems that align with our goals and remain under our control. However, as AI capabilities advance, we face a new challenge: the emergence of deeper, more persistent relationships between humans and AI systems. We explore how increasingly capable AI agents may generate the perception of deeper relationships with users, especially as AI becomes more personalised and agentic. This shift, from transactional interaction to ongoing sustained social engagement with AI, necessitates a new focus on socioaffective alignment—how an AI system behaves within the social and psychological ecosystem co-created with its user, where preferences and perceptions evolve through mutual influence. Addressing these dynamics involves resolving key intrapersonal dilemmas, including balancing immediate versus long-term well-being, protecting autonomy, and managing AI companionship alongside the desire to preserve human social bonds. By framing these challenges through a notion of basic psychological needs, we seek AI systems that support, rather than exploit, our fundamental nature as social and emotional beings.

Humanities and Social Sciences CommunicationsVol. 12(1)
University of Oxford (GB), Google DeepMind (United Kingdom) (GB), Aedas (United Kingdom) (GB), Google (United Kingdom) (GB), Contextual Change (United States) (US), Research Institute in Science of Cyber Security (GB), Takeda (United Kingdom) (GB)
Economic and Social Research Council
Reduced inequalities
Openalex Percentile: Top 0%
Ethics and Social Impacts of AI
92.26
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