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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

A STUDY ON ENHANCING EFFICIENCY AND REDUCING BIASNESS IN AI RECRUITMENT

  Authors

  Roopasree R,  Sangavi S,  Ananthalakshmi V

  Keywords

AI's role in hiring,its capacity to lessen bias in hiring, AI's Benefits and Drawbacks for Hiring, Literature Reviews, and Ethical Issues Framework for AI Risk.

  Abstract


Artificial intelligence is transforming the landscape of Human Resource Management (HRM), altering conventional methods and elevating the recruitment process for companies. The traditional hiring process can be extremely time-consuming, frequently taking weeks to go through every application. Because they have to go through a large number of resumes, recruiters may find this procedure intimidating. By quickly sorting through a huge number of applications, finding the best individuals, and offering succinct summaries of their qualifications, artificial intelligence (AI) helps to expedite this process. In addition to saving time, this enables recruiters to focus on enhancing the applicant experience and drawing in top talent. Because AI works around the clock, the hiring process is always ongoing and efficient, even when recruiters are not on duty. Additionally, AI can lessen bias by emphasizing relevant experiences and talents above individual prejudices, which, when applied properly, can lead to more equal employment decisions. In order to lessen unconscious prejudice during initial screening, AI systems employ objective data and predetermined criteria, as this paper examines. This method makes sure that applicants are judged on their qualifications and merits rather than on personal traits.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2412830

  Paper ID - 274802

  Page Number(s) - h494-h503

  Pubished in - Volume 12 | Issue 12 | December 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Roopasree R,  Sangavi S,  Ananthalakshmi V,   "A STUDY ON ENHANCING EFFICIENCY AND REDUCING BIASNESS IN AI RECRUITMENT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.h494-h503, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412830.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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