THE FUTURE OF RECRUITMENT: EVALUATING AI – BASED SCREENING TOOLS
DOI:
https://doi.org/10.29121/shodhai.v2.i2.2025.52Keywords:
Recruitment, Artificial Intelligence, Screening Tools, Fairness, Humanization, Ethical HiringAbstract
Artificial Intelligence (AI) has become a transformative force in modern recruitment, allowing companies to automate candidate screening, reduce time-to-hire, and process large applicant pools efficiently. Yet, despite these advantages, concerns about fairness, bias, transparency, and the loss of human touch continue to shape public perception. This research paper aims to evaluate the awareness, experiences, and attitudes of job seekers toward AI-based screening tools.
A quantitative survey was conducted among 80 respondents from different educational and professional backgrounds. The results revealed that while 81% of respondents were aware of AI recruitment tools, trust levels remained moderate, and 85% still preferred some form of human involvement in hiring decisions. Participants recognized AI’s potential for improving efficiency but questioned its fairness and accountability.
The findings suggest that the future of recruitment should balance automation with empathy and ethical oversight to ensure candidates are evaluated not only by algorithms but also by people who understand human potential.
References
Bogen, M., and Rieke, A. (2018). Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias. Upturn.
Dastin, J. (2018). Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women. Reuters.
Edwards, M. R., and Sutanto, J. (2021). Artificial Intelligence in Recruitment: A Review and Research Agenda. International Journal of Human Resource Management, 32(20), 4142–4173. https://doi.org/10.1080/09585192.2020.1835598
Jarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Upadhyay, A. K., and Khandelwal, K. (2018). Applying Artificial Intelligence: Implications for Recruitment. Strategic HR Review, 17(5), 255–258. https://doi.org/10.1108/SHR-07-2018-0051
Yarger, L., Cobb Payton, F., and Neupane, B. (2020). Algorithmic Recruitment: The Impact of Big Data on Hiring Decisions. Journal of Business Ethics, 163(2), 329–343. https://doi.org/10.1007/s10551-018-4056-2
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Copyright (c) 2025 Indrayani Yadav, Dr. Priya Satsangi
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