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Comparative Study
| Published: April 18, 2026
General Attitude towards AI: A Comparative Study between Males and Females
Student, Amity Institute of Behavioural and Allied Sciences, Amity University Uttar Pradesh, Lucknow Campus, India.
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DIP: 18.01.S57.20261402
DOI: 10.25215/1402.S57
ABSTRACT
Artificial Intelligence has been navigating and influencing a large portion of our lives in recent years. It includes employment edge, education and critical thinking aid. As artificial intelligence is getting ingrained into society, understanding public attitudes towards AI has gained significant psychological and social importance. This study focuses on examining gender distinctions in general attitude toward artificial intelligence. A quantitative cross-sectional comparative research design was selected. Data was taken from 94 participants consisting of 47 men and 47 women using the General Attitude towards Artificial Intelligence Scale (Schepman and Rodway, 2020). Participants responded to articles on a Likert-type scale measuring overall perceptions, concerns, and acceptance of AI technologies. Descriptive statistics were calculated, and a t- test of independent sample was adopted for men and women participants in their attitudes toward AI. The findings ought to signify that men reported notably more positive attitude in regards to AI than women. Whereas there is no significant difference in negative attitude towards AI. These results highlight the part of gender in modifying observation regarding emerging technologies and contribute to the growing body of research examining psychological responses to artificial intelligence. The findings may have implications for technology education, AI adoption strategies, and the development of inclusive technological policies.
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This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Gupta, T.
Received: April 04, 2026; Revision Received: April 14, 2026; Accepted: April 18, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.S57.20261402
10.25215/1402.S57
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Published in Volume 14, Issue 2, Special Issue, April-June, 2026
