The Power of Artificial Intelligence in Recruitment: A Theoretical Analysis of Current AI-Based Recruitment Strategies

The Power of Artificial Intelligence in Recruitment: A Theoretical Analysis of Current AI-Based Recruitment Strategies

Sayeed Arshad Raza,

Dr. Mohammad Usama,

Galgotias University.

Abstract: This report critically examines the burgeoning integration of Artificial Intelligence (AI) within recruitment processes, dissecting the inherent tension between aspirations for heightened efficiency and the crucial imperative of maintaining ethical standards. By examining AI tools used in pre-screening, candidate engagement, and evaluation through the diverse frameworks of Human Capital Theory, Organizational Justice Theory, the Technology Acceptance Model (TAM), and Critical Theory, this study highlights underlying concerns such as algorithmic bias, the risk of impersonal or dehumanized candidate experiences, and the diminishing protection of applicant privacy. It contributes a novel and comprehensive framework meticulously designed for evaluating AI recruitment strategies, integrating disparate theoretical perspectives to furnish practical guidance for both Human Resource (HR) professionals and AI vendors. Emphasizing the necessity of rigorous ethical audits, algorithmic transparency, the indispensable role of human oversight, and a steadfast commitment to responsible AI development and deployment, the report advocates for proactive measures to ensure fairness, inclusivity, and a positive candidate experience. Furthermore, it identifies promising avenues for future research, including longitudinal studies to assess long-term impacts on diversity and the development of robust and reliable fairness metrics

Keywords: AI, Recruitment, Algorithmic Bias, Fairness, Candidate Experience, Human Resources, Ethics, Theoretical Framework, Organizational Justice, Human Capital Theory, Technology Acceptance Model, Critical Theory.