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dc.contributor.authorSacco, Federica
dc.contributor.authorManzi, Federico
dc.contributor.authorDi Dio, Cinzia
dc.contributor.authorSchepman, Astrid
dc.contributor.authorRodway, Paul
dc.contributor.authorMassaro, Davide
dc.contributor.authorMarchetti, Antonella
dc.date.accessioned2025-08-06T07:41:26Z
dc.date.available2025-08-06T07:41:26Z
dc.date.issued2025-07-19
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/629559/1-s2.0-S2451958825001666-main.pdf?sequence=2
dc.identifier.citationSacco, F., Manzi, F., Di Dio, C., Schepman, A., Rodway, P., Massaro, D., Marchetti, A. (2025). Validation of the general attitudes towards Artificial Intelligence Scale in the Italian context and the role of trust. Computers in Human Behavior Reports, 19, article-number 100751. https://doi.org/10.1016/j.chbr.2025.100751en_US
dc.identifier.doi10.1016/j.chbr.2025.100751en_US
dc.identifier.urihttp://hdl.handle.net/10034/629559
dc.description© 2025 The Authors. Published by Elsevier Ltd.en_US
dc.description.abstractRecent advancements in Artificial Intelligence (AI) have profoundly impacted various sectors, including healthcare, education, and security, leading to a paradigm shift in the way in which society engages with technology. Considering the increasing integration of AI in these critical areas, it is important to understand people's attitudes towards this technology to understand their acceptance of AI. The present study aimed to validate the General Attitudes towards Artificial Intelligence Scale (GAAIS) in the Italian context. The study examined the psychometric properties of the scale and explored the relationship between interpersonal trust and attitudes towards AI. The GAAIS, previously validated in the UK and Turkey, was translated into Italian. The scale was administered to two independent samples of Italian adults (Study 1, N = 205; Study 2, N = 121). Participants varied in age, gender, and self-reported familiarity with AI, offering a culturally specific perspective on attitudes toward AI in the Italian context. The study also investigated potential factors that may influence AI attitudes, including demographic characteristics, computer usage, and knowledge about AI. The findings supported the hypothesized link between positive attitudes with younger male individuals, higher education levels and greater familiarity with AI. Data also showed that epistemic mistrust –i.e. the lack of confidence in the reliability of a source measured through the Epistemic Trust, Mistrust and Credulity Questionnaire (ETMCQ), correlated with skepticism, while epistemic trust –i.e. the willingness to accept information from others as reliable– was linked to forgiving attitudes towards AI drawbacks. These findings underscored the pivotal role that interpersonal trust and cultural context play in shaping public attitudes towards AI.en_US
dc.description.sponsorshiphis research and its publication are supported by the research line (funds for research and publication D.1 and D.3.1) of the Università Cattolica del Sacro Cuore of Milan.en_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S2451958825001666?via%3Dihuben_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectAIen_US
dc.subjectGeneral attitudesen_US
dc.titleValidation of the general attitudes towards Artificial Intelligence Scale in the Italian context and the role of trusten_US
dc.typeArticleen_US
dc.identifier.eissn2451-9588en_US
dc.contributor.departmentUniversità Cattolica del Sacro Cuore; Università di Pisa; IRCCS Fondazione Don Carlo Gnocchi; University of Chester; Osaka Universityen_US
dc.identifier.journalComputers in Human Behavior Reportsen_US
dc.date.updated2025-08-05T14:27:02Z
dc.identifier.volume19
dc.date.accepted2025-07-13
rioxxterms.identifier.projectn/aen_US
rioxxterms.versionVoRen_US
rioxxterms.licenseref.startdate2025-07-19
rioxxterms.typeJournal Article/Review
dc.source.beginpage100751
dc.date.deposited2025-08-06en_US


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