Current - Issue

1. D. F. Mujtaba and N. R. Mahapatra, “Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions,” May
2025, [Online]. Available: http://arxiv.org/abs/2405.19699
2. M. Saatçı, R. Kaya, and R. Ünlü, “Resume Screening with Natural Language Processing (NLP).”
3. A. We T. Patil, A. Saxena, Y. Fu, S. O’Brien, and K. Zhu, “FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations,”
Apr. 2025, [Online]. Available: http://arxiv.org/abs/2504.01420
4. P. Parasurama and P. Ipeirotis, “Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes,” May
2025, [Online]. Available: http://arxiv.org/abs/2505.14388
5. Xu, G. Li, and J. Y. Jiang, “AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights, Feb. 2026, [Online]. Available:
http://arxiv.org/abs/2509.00462
6. Tyagi and A. Anuj, “Promoting Gender Fair Resume Screening Using Gender-Weighted Sampling,” in. ACM International Conference
Proceeding Series, Association for Computing Machinery, Apr. 2024. doi: 10.1145/3661725.3661786.
7. A. Fabris et al., “Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey,” ACM Trans Intell Syst Technol, vol. 16, no. 1,
Jan. 2025, doi: 10.1145/3696457.
8. A. Mishra, “Title: Exploring Bias in AI-Driven Resume Screening: A Fairness Analysis and Mitigation Approach.”
9. E. Albaroudi, T. Mansouri, and A. Alameer, “A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job
Hiring,” Mar. 01, 2024, Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/ai5010019.
10. G. Navarro, “Fair and Ethical Resume Screening: Enhancing ATS with JustScreen the ResumeScreeningApp,” Journal of Information
Technology, Cybersecurity, and Artificial Intelligence, vol. 2, no. 1, pp. 1–7, Jan. 2025, doi: 10.70715/jitcai.2024.v2.i1.001.
11. J. Ochmann, L. Michels, V. Tiefenbeck, C. Maier, and S. Laumer, “Perceived algorithmic fairness: An empirical study of
transparency and anthropomorphism in algorithmic recruiting,” Information Systems Journal, vol. 34, no. 2, pp. 384–414, Mar. 2024, doi:
10.1111/isj.12482.
12. M. Soleimani, A. Intezari, J. Arrowsmith, D. J. Pauleen, and N. Taskin, “Reducing AI bias in recruitment and selection: an integrative
grounded approach,” International Journal of Human Resource Management, vol. 36, no. 14, pp. 2480–2515, 2025, doi:
10.1080/09585192.2025.2480617.