People have different expectations for their own versus others' use of AI‐mediated communication tools.
Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers a...
| Publicado en: | British Journal of Psychology Vol. 117; no. 2; pp. 548 - 567 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
May2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192785880&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192785880 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00071269 BJP jtl: British Journal of Psychology issn: 00071269 maglogo: Y pubinfo: dt: May2026 vid: 117 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 192785880 10.1111/bjop.12727 ppf: 548 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.5MB tig: atl: People have different expectations for their own versus others' use of AI‐mediated communication tools. aug: au: Purcell, Zoe A. Dong, Mengchen Nussberger, Anne‐Marie Köbis, Nils Jakesch, Maurice affil: LaPsyDÉ, Université Paris Cité, CNRS, Paris, France Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany Cornell Tech, Cornell University, New York New York,, USA Department of Media, Bauhaus University, Weimar, Germany su: United States United Kingdom Artificial intelligence Public opinion Social norms Nonbinary people Sound recordings Communication Trust Judgment (Psychology) Statistical power analysis Research funding Descriptive statistics Case studies Text messages Confidence intervals Data analysis software Video recording sug: subj: Artificial intelligence Public opinion Social norms Nonbinary people Sound recordings Communication Trust Judgment (Psychology) United States United Kingdom Integrated Record Production/Distribution Sound recording merchant wholesalers Record Production Wireless Telecommunications Carriers (except Satellite) Statistical power analysis Research funding Descriptive statistics Case studies Text messages Confidence intervals Data analysis software Video recording keyword: AI‐mediated communication artificial intelligence computer‐mediated communication human–AI interaction technology risk assessment trust AI‐mediated communication artificial intelligence computer‐mediated communication human–AI interaction technology risk assessment trust ab: Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches to prevent and reduce potentially unacceptable uses of AI communication technologies. However, we do not yet know what people believe is acceptable or what their expectations are regarding usage. Drawing on normative psychology theories, we examine people's judgements of the acceptability of open and secret AI use, as well as people's expectations of their own and others' use. In two studies with representative samples (Study 1: N = 477; Study 2: N = 765), we find that people are less accepting of secret than open AI use in communication, but only when directly compared. Our results also suggest that people believe others will use AI communication tools more than they would themselves and that people do not expect others' use to align with their expectations of what is acceptable. While much attention has been focused on transparency measures, our results suggest that self‐other differences are a central factor for understanding people's attitudes and expectations for AI‐mediated communication. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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