Artificial Intelligence and its ability to reduce recruitment bias
Department of Commerce, Avinash College of Commerce, Himayathnagar, Hyderabad, Telangana, India.
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(01), 551–564
Publication history:
Received on 19 August 2024; revised on 02 October 2024; accepted on 04 October 2024
Abstract:
Artificial intelligence is transforming the landscape of Human Resource Management (HRM), altering conventional methods and elevating the recruitment process for companies. The conventional approach to hiring can be incredibly time-intensive, often stretching over several weeks to sift through all applications. This process can be daunting for recruiters, who are tasked with reviewing numerous resumes. AI steps in to streamline this process by rapidly sifting through a large number of applications, identifying the most suitable candidates, and providing concise overviews of their qualifications. This not only saves recruiters time but also allows them to concentrate on improving the candidate experience and attracting top talent. AI operates around the clock, ensuring the recruitment process remains active and effective even when recruiters are not on duty. Moreover, AI can help mitigate bias, when utilized correctly, it can facilitate more equitable hiring decisions by focusing on relevant skills and experiences rather than personal biases. This article explores the multifaceted role of AI in mitigating recruitment bias, AI algorithms use objective data and set criteria to reduce unconscious bias during initial screening. This approach helps ensure that job seekers are evaluated based on qualifications and merit, rather than personal characteristics.
Keywords:
Role of AI in Recruitment; AI ability to reduce Recruitment Bias; Pros and Cons of AI in Recruitment; AI in Literature Review; Ethical Concerns with AI; AI Risk Framework
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0