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People have different expectations for their own versus others' use of AI‐mediated communication tools.

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Title: People have different expectations for their own versus others' use of AI‐mediated communication tools.
Authors: Purcell, Zoe A. (AUTHOR), Dong, Mengchen (AUTHOR), Nussberger, Anne‐Marie (AUTHOR), Köbis, Nils (AUTHOR), Jakesch, Maurice (AUTHOR)
Source: British Journal of Psychology. May2026, Vol. 117 Issue 2, p548-566. 19p.
Subjects: Statistical power analysis, Research funding, Artificial intelligence, Public opinion, Social norms, Descriptive statistics, Nonbinary people, Sound recordings, Communication, Trust, Judgment (Psychology), Case studies, Text messages, Confidence intervals, Data analysis software, Video recording
Geographic Terms: United States, United Kingdom
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: People have different expectations for their own versus others' use of AI‐mediated communication tools.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British Journal of Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=192785880
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        Value: 10.1111/bjop.12727
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        Text: English
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        PageCount: 19
        StartPage: 548
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      – SubjectFull: Statistical power analysis
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Artificial intelligence
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      – SubjectFull: Trust
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              Text: May2026
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              Y: 2026
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