Collaboration among recruiters and Artificial Intelligence: Removing human prejudices in employment
Open accessAbstract
In the global war for talent, traditional recruiting methods are failing to cope with the talent competition, so employers need the right recruiting tools to fill open positions. First, we explore how talent acquisition has transitioned from digital 1.0 to 3.0 (AI-enabled) as the digital tool redesigns business. The technology of artificial intelligence has facilitated the daily work of recruiters and improved recruitment efficiency. Further, the study analyzes that AI plays an important role in each stage of recruitment, such as recruitment promotion, job search, application, screening, assessment, and coordination. Next, after interviewing with AI recruitment stakeholders (recruiters, managers, and applicants), the study discusses their acceptance criteria for each recruitment stage; stakeholders also raised concerns about AI recruitment. Finally, we suggest that managers need to be concerned about the cost of AI recruitment, legal privacy, recruitment bias, and the possibility of replacing recruiters. Overall, the study answers the following questions: (1) How artificial intelligence is used in various stages of the recruitment process. (2) Stakeholder (applicants, recruiters, managers) perceptions of AI application in recruitment. (3) Suggestions for managers to adopt AI in recruitment. In general, the discussion will contribute to the study of the use of AI in recruitment, as well as providing recommendations for implementing AI recruitment in practice.
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AI fairness is applied to mitigate bias in automated hiring systems, ensuring equitable and non-discriminatory candidate selection.
“In the applications of AI system in HRM, artificial intelligence fairness is applied to mitigate bias in automated hiring systems, ensuring equitable and non-discriminatory candidate selection [305,306].”
From AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023) · cites this paper as [305]
Chen (2023) reported that employers and other stakeholders have positive opinions about the use of AI in the recruitment process.
“Chen (2023) also highlights the positive opinions of employers and other stakeholders about the use of AI in the recruitment process.”
From Impacts of generative artificial intelligence on the future of labor market: a systematic review (2025) · cites this paper as Chen (2023)
Chen (2023) reported that study participants believed that AI could improve the recruitment process, enabling the creation of optimal recruitment plans.
“The study participants believed that AI could improve the recruitment process, enabling the creation of optimal recruitment plans.”
From Impacts of generative artificial intelligence on the future of labor market: a systematic review (2025) · cites this paper as Chen (2023)
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References 46 · Cited by 164
Research works printed but not linked: 5
- Abou Hamdan LF (2019) The role of artificial intelligence in the recruitment and selection processes: a systematic review American University of Beirut. Suliman S. AUB Students' Theses, Dissertations, and Projects
- Black JS van Esch PJBH AI-enabled recruiting: what is it and how should a manager use it? Bus Horiz 2020 63 2 215 226 10.1016/j.bushor.2019.12.001 · DOI · Paper page
- Judge TA Cable DM Higgins CAJHRMR The employment interview: a review of recent research and recommendations for future research Human Res Manag Rev. 2000 10 4 383 406
- Millot P, Hoc J (1997) Human-machine cooperation: metaphor or possible reality. Proceedings of the 2nd European Conference on Cognitive Science, April,
- Petry T Digital HR: Veränderung des Personalmanagements durch digitale Medien und Technologien Media Management 2018 Germany Springer 43 56
- Authors
- Chen, Z.
- Affiliations
- Nanjing University of Aeronautics and Astronautics (CN)
- Corresponding author
- Chen, Zhisheng
- ORCID
- Chen, Zhisheng
- Venue
- Cognition, Technology & Work
- Published
- 2022-09-28
- Volume
- 25
- Issue
- 1
- Pages
- 135-149
- ISSN
- 1435-5558 (ISSN-L)
- 1435-5566
- PMC
- PMC9516509
- OpenAlex
- W4297540759
- Cited by
- 164
- References
- 46
- Citations by year
- 2026: 44 · 2025: 57 · 2024: 43 · 2023: 20
- FWCI
- 28.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cognition Technology & Work (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence in recruitment, recruitment bias, talent acquisition, stakeholder perspectives, privacy concerns, recruitment efficiency
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