OPEN ACCESS

PEER-REVIEWED

Comparative Study

| Published: April 18, 2026

General Attitude towards AI: A Comparative Study between Males and Females

Tanishka Gupta

Student, Amity Institute of Behavioural and Allied Sciences, Amity University Uttar Pradesh, Lucknow Campus, India. Google Scholar More about the auther

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.

Download Full Text
Responding Author Information

Tanishka Gupta @ tanishka.gupta@s.amity.edu

Find On

Article Overview

ISSN 2348-5396

ISSN 2349-3429

18.01.S57.20261402

10.25215/1402.S57

Download: 2

View: 68

Published in   Volume 14, Issue 2, Special Issue, April-June, 2026