Cognitive Spillover in Human-AI Teams

AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure produces causal spillover into human-human interaction—affecting shared language, collective attention, shared mental models, and social cohesion. These spillover effects occur robustly across settings, modalities, tasks, and AI qualities, suggesting that mere exposure to AI drives the influence. AI functions as an implicit “social forcefield,” influencing not only how people speak, but also how they think, what they attend to, and how they relate to each other. We argue for shifting the design paradigm from optimizing “AI as a tool” to understanding AI as a socially influential actor whose effects extend beyond the human-AI interface.

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Publication Details

Journal
ACM Transactions on Computer-Human Interaction
Published
2026-04-01
DOI
https://doi.org/10.1145/3805039
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Cognitive Spillover in Human-AI Teams

Christoph Riedl, Saiph Savage, Josie Zvelebilova
ACM Transactions on Computer-Human Interaction
Ethics and Social Impacts of AI
article

Cognitive Spillover in Human-AI Teams

Christoph Riedl, Saiph Savage, Josie Zvelebilova
article en

Abstract

AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure produces causal spillover into human-human interaction—affecting shared language, collective attention, shared mental models, and social cohesion. These spillover effects occur robustly across settings, modalities, tasks, and AI qualities, suggesting that mere exposure to AI drives the influence. AI functions as an implicit “social forcefield,” influencing not only how people speak, but also how they think, what they attend to, and how they relate to each other. We argue for shifting the design paradigm from optimizing “AI as a tool” to understanding AI as a socially influential actor whose effects extend beyond the human-AI interface.

ACM Transactions on Computer-Human Interaction
Northeastern University (US)
Reduced inequalities
Openalex Percentile: Top 28%
Ethics and Social Impacts of AI
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