Abstract
Gender bias in hiring is a significant problem in the banking sector. This study explores how individuals’ bias towards hiring males is impacted when those individuals are exposed to existing recommendations with embedded bias towards hiring either males or females. We also investigate whether the impact of these recommendations changes when individuals believe they come from Artificial Intelligence (AI), male partners, or female partners. We perform a 2 × 3 between-subjects experiment that asks subjects to rank candidates under each condition (existing recommendations favor male candidates vs. existing recommendations favor female candidates, and recommendations come from AI vs. recommendations come from male partners vs. recommendations come from female partners). The results show that subjects tend to imitate the male or female favoring bias in the existing recommendations. Results further show that male and female subjects tended to ignore a bias towards hiring males when it came from the opposite sex. Further, subjects with positive perceptions toward AI were more likely to favor male candidates, reflecting the dynamic of perception of credibility, gender bias, and social identity. These results underline the importance of collaboration between AI developers and HR to mitigate biases and address systemic disparities in recruitment in the banking sector.
Original language | English |
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Title of host publication | Enterprise Applications, Markets and Services in the Finance Industry : 12th International Workshop, FinanceCom 2024, Copenhagen, Denmark, October 10, 2024, Revised Selected Papers |
Editors | Jonas Hedman, Rob Gleasure, Madhushi Bandara |
Number of pages | 12 |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 2025 |
Pages | 89–100 |
ISBN (Print) | 9783031899324 |
ISBN (Electronic) | 9783031899331 |
DOIs | |
Publication status | Published - 2025 |
Event | FinanceCom 2024 - 12th International Workshop: Enterprise Applications, Markets and Services in the Finance Industry - Copenhagen Business School, Frederiksberg, Denmark Duration: 10 Oct 2024 → 10 Oct 2024 Conference number: 12 https://www.tilmeld.dk/financecom2024/conference |
Workshop
Workshop | FinanceCom 2024 - 12th International Workshop |
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Number | 12 |
Location | Copenhagen Business School |
Country/Territory | Denmark |
City | Frederiksberg |
Period | 10/10/2024 → 10/10/2024 |
Internet address |
Series | Lecture Notes in Business Information Processing |
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Volume | 541 |
ISSN | 1865-1348 |
Keywords
- Gender bias
- Banking, hiring
- Artificial intelligence