Gender Differences on AI-based Job Interviews among University Students (인공지능 기반 대학생 취업 면접에 대한 성별 차이 분석)

Shin, Namin (신나민); HAN JUNGKYU (한정규)

doi:10.29056/jsav.2022.06.08

Gender Differences on AI-based Job Interviews among University Students

Journal of Software Assessment and Valuation
Abbr : JSAV
2022, 18(1), pp.61-70
DOI : 10.29056/jsav.2022.06.08
Publisher : Korea Software Assessment and Valuation Society
Research Area : Engineering > Computer Science
Received : June 9, 2022
Accepted : June 20, 2022
Published : June 30, 2022

Shin, Namin ¹, HAN JUNGKYU ²

¹동국대학교
²동아대학교

Accredited

ABSTRACT

Artificial intelligence technology has brought about major changes in the hiring process of companies. In this study, questions were developed to measure the attitudes of college students toward AI-based interviews. In addition, we investigated the perceptions of college students on ethical issues surrounding AI job interviews and analyzed whether there were gender differences. The results of the study showed that college students' attitudes toward AI-based job interviews were composed of 'comfort', 'fair' and 'convenience' as well as 'distrust', 'discomfort', and 'anxiety'. Among them, male students showed significantly higher scores in the ‘discomfort’ than female students. Regarding the ethical issues, ‘Accountability’ was answered as the most important one, followed by ‘Transparency’, ‘Technical stability’, ‘Privacy protection’ and ‘Non-discrimination’ in that order. In recognition of the importance of ethical issues, female students showed statistically significantly higher scores in all other items except for ‘non-discrimination’.

KEYWORDS

AI-based interview, AI-based recruitment, AI ethics, college students’ employment

Citation status

* References for papers published after 2023 are currently being built.

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Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

Gender Differences on AI-based Job Interviews among University Students

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

Gender Differences on AI-based Job Interviews among University Students

ABSTRACT

KEYWORDS

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REFERENCES (20) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.