Writing with AI boosts trust-building efficiency

AI-mediated communication promises efficiency but raises concerns about diminished authenticity and interpersonal trust. We examined this potential trade-off across two preregistered online experiments (<i>N</i> = 1,637) in which participants engaged in incentivized two-player trust games with communication. Half of the participants could use state-of-the-art predictive text assistance when composing a message to encourage trust; the others wrote unaided. We measured both objective (behavioral) and subjective (stated) trust. Frequentist and Bayesian analyses showed that AI assistance had minimal impact on trust, regardless of disclosure. AI-assisted participants wrote more efficiently, producing equally trust-inducing messages but in less time. This advantage persisted even when AI use was disclosed. Linguistic analyses indicated that AI-assisted messages were slightly less authentic than those written alone but that they exhibited greater warmth, complexity, and clout-features commonly associated with trustworthiness. These findings challenge the view that AI-mediated communication necessarily undermines trust, particularly in one-shot, transactional interactions.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-11-20
DOI
https://doi.org/10.1016/j.isci.2025.114092
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Writing with AI boosts trust-building efficiency

Maurice Jakesch, Zoe Alexandra Purcell, Mengchen Dong, Nils Köbis et al.
1 citations
iScience
AI in Service Interactions
2.48
article

Writing with AI boosts trust-building efficiency

Maurice Jakesch, Zoe Alexandra Purcell, Mengchen Dong, Nils Köbis, Anne-Marie Nußberger
article en
1 citations

Abstract

AI-mediated communication promises efficiency but raises concerns about diminished authenticity and interpersonal trust. We examined this potential trade-off across two preregistered online experiments (<i>N</i> = 1,637) in which participants engaged in incentivized two-player trust games with communication. Half of the participants could use state-of-the-art predictive text assistance when composing a message to encourage trust; the others wrote unaided. We measured both objective (behavioral) and subjective (stated) trust. Frequentist and Bayesian analyses showed that AI assistance had minimal impact on trust, regardless of disclosure. AI-assisted participants wrote more efficiently, producing equally trust-inducing messages but in less time. This advantage persisted even when AI use was disclosed. Linguistic analyses indicated that AI-assisted messages were slightly less authentic than those written alone but that they exhibited greater warmth, complexity, and clout-features commonly associated with trustworthiness. These findings challenge the view that AI-mediated communication necessarily undermines trust, particularly in one-shot, transactional interactions.

iScienceVol. 28(12)
Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR), Max Planck Institute for Human Development (DE), Bauhaus-Universität Weimar (DE), University of Duisburg-Essen (DE)
Openalex Percentile: Top 8%
AI in Service Interactions
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Writing with AI boosts trust-building efficiency — Maurice Jakesch, Zoe Alexandra Purcell, et al. · iScience (2025) | TGRS Research Map | TGRS