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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM55739
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Recruitment has changed as a result of the development of artificial intelligence (AI) and machine learning (ML) technologies, which allow companies to more effectively find, assess, and interact with talent. Hiring algorithms handle this task and much more, automating the process and saving businesses countless hours of time spent reviewing resumes and conducting interviews. AI and ML offer more accurate forecasting, better participant experiences, less bias, and higher-quality hires in addition to automated hiring procedures. However, problems like algorithmic bias, privacy violations, and moral conundrums do not accompany their use. Additionally, the recently developed HR Tech needs expertise in data, technology, and ethical governance. In this paper, I analyze the ethical implications, weigh the benefits and drawbacks, and talk about the role of human resource professionals in a technologically advanced society as I look at how AI and ML technologies affect hiring.
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Publication Date
2/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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