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The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust

Schepman, Astrid
; 
Rodway, Paul
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Affiliation
University of Chester
EPub Date
Publication Date
2022-06-14
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Psychology
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Abstract
Acceptance of Artificial Intelligence may be predicted by individual psychological correlates, examined here. Study 1 reports confirmatory validation of the General Attitudes towards Artificial Intelligence Scale (GAAIS) following initial validation elsewhere. Confirmatory Factor Analysis confirmed the two-factor structure (Positive, Negative) and showed good convergent and divergent validity with a related scale. Study 2 tested whether psychological factors (Big Five personality traits, corporate distrust, and general trust) predicted attitudes towards AI. Introverts had more positive attitudes towards AI overall, likely because of algorithm appreciation. Conscientiousness and agreeableness were associated with forgiving attitudes towards negative aspects of AI. Higher corporate distrust led to negative attitudes towards AI overall, while higher general trust led to positive views of the benefits of AI. The dissociation between general trust and corporate distrust may reflect the public’s attributions of the benefits and drawbacks of AI. Results are discussed in relation to theory and prior findings.
Citation
Schepman, A., & Rodway, P. (2023). The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human-Computer Interaction, 39(13), 2724-2741. https://doi.org/10.1080/10447318.2022.2085400
Publisher
Taylor & Francis
Journal
International Journal of Human-Computer Interaction
Research Unit
URI
http://hdl.handle.net/10034/626931
DOI
10.1080/10447318.2022.2085400
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PubMed Central ID
Type
Article
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Description
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 14/06/2022, available online: https://doi.org/10.1080/10447318.2022.2085400
Series/Report no.
ISSN
1044-7318
EISSN
1532-7590
ISBN
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https://www.tandfonline.com/journals/hihc20
https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2085400