A Study of Artificial Intelligence on Recruiting Fairness: A Job Seeker Perception Perspective

DOI

10.2991/978-94-6463-958-2_30How to use a DOI?

Keywords

Recruitment Methods; Artificial Intelligence; Perceived Fairness; Job Seekers

Abstract

In the digital intelligence, AI technology has advanced rapidly. With the AI+ model has extended into economic management domains, particularly the recruitment phase of human resource management. Many companies now use AI for talent recruitment and resume screening, challenging and transforming traditional manual recruitment practices. This study constructs a recruitment perceived fairness structural model based on the ABC theory of emotion, exploring differences in perceived fairness between job seekers exposed to traditional and AI recruitment during the application process. Findings show traditional manual recruitment remains dominant in corporate hiring, with job seekers perceiving higher fairness levels. AI recruitment applications are on the rise, and combining both methods generates even greater perceived fairness among candidates. This research aims to provide an empirical foundation for management studies on AI recruitment and help companies correctly understand and managing the relationship between traditional and AI recruitment. It emphasizes that developing and applying AI optimizes corporate recruitment models, meets companies’ human resource needs, achieves optimal job-candidate matching, and enhances recruitment efficiency and corporate competitiveness.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinyue Liang
AU  - Lingling Yu
PY  - 2025
DA  - 2025/12/26
TI  - A Study of Artificial Intelligence on Recruiting Fairness: A Job Seeker Perception Perspective
BT  - Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
PB  - Atlantis Press
SP  - 270
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-958-2_30
DO  - 10.2991/978-94-6463-958-2_30
ID  - Liang2025
ER  -