International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 1 (January-February 2026) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Ethical and Efficient Recruitment: The Role of Artificial Intelligence in Reducing Bias and Enhancing Talent Acquisition Decisions

Author(s) Mr. Sumuk R, Ms. Druthi I D, Ms. Jeevitha P
Country India
Abstract Artificial Intelligence (AI) is changing how recruitment works by applying technologies such as LinkedIn’s talent matching algorithms and Applicant Tracking Systems (ATS) that will improve fairness, accuracy, and efficiency in hiring. This paper, Ethical and Efficient Recruitment: The Role of Artificial Intelligence in Reducing Bias and Enhancing Talent Acquisition Decisions, explores how platforms powered by AI technologies can enhance the recruitment process by sourcing, screening, and selecting candidates while reducing the impact of unconscious bias. Traditional recruitment relies on subjective judgments of various candidates along with manual recruitment processes that lead to inefficiencies and the potential for discrimination; however, tools like LinkedIn Recruiter and ATS leverage robust data analytics, predictive modelling, selection algorithms, and skills-based matching to create objective assessments of candidates that continuously yield higher quality talent acquisition. AI takes on mundane tasks, filters candidates based on viable competencies, and uses scoring metrics for standardizing assessments; thus, ensuring talent acquisition can include more time for strategic thinking. There are ethical concerns with AI recruitment methods, including algorithmic biases, privacy, and the use of data in general. This paper will examine best practices for ethically implementing AI recruitment strategies including bias detection protocols, transparency in algorithm design, and diversity monitoring. With human oversight applications and AI technologies working together in the recruitment process, organizations can have an efficient process that is ethically aligned as well. The study suggests that AI applications used in sites such as LinkedIn and ATS can reduce bias and improve talent acquisition results when used with appropriate ethical norms and ongoing evaluations of performance.
Keywords Artificial Intelligence, Ethical Recruitment, LinkedIn, Applicant Tracking System, Bias Reduction, Talent Acquisition.
Field Business Administration
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-04
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.67390

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