Current Volume 8
The Algorithmic Turn in Talent Acquisition: A Critical Analysis of AI-Mediated Recruitment Technologies
Abstract
The integration of artificial intelligence (AI) in talent acquisition is reshaping recruitment methodologies by enhancing efficiency, automating hiring processes, and introducing new challenges related to bias and transparency. AI-driven technologies, including predictive analytics, applicant tracking systems, and automated interviewing tools, are transforming how organizations source, assess, and select candidates. This study examines the dual impact of AI in recruitment, its ability to improve hiring efficiency and candidate-job matching while also posing questions regarding algorithmic bias and regulatory oversight. Drawing on case studies and empirical research, the analysis explores the effectiveness of AI in managing hiring inefficiencies, its role in decision-making, and the necessity of fairness audits to ensure responsible AI adoption. While AI offers significant advancements in streamlining hiring, its reliance on historical data and algorithmic models requires continuous refinement to prevent unintended biases. This study highlights the need for human oversight, ethical AI frameworks, and regulatory collaboration to balance automation with fairness. As AI-driven recruitment continues to evolve, ensuring compliance with ethical and legal standards will be critical for sustainable and inclusive hiring practices.
Keywords
AI Recruitment, Machine Learning in Hiring, Algorithmic Bias, Predictive Hiring Models, Talent Acquisition, HR Technology, Ethical AI Governance.
Citations
IRE Journals:
Simbiat Saliu
"The Algorithmic Turn in Talent Acquisition: A Critical Analysis of AI-Mediated Recruitment Technologies" Iconic Research And Engineering Journals Volume 8 Issue 9 2025 Page 755-767
IEEE:
Simbiat Saliu
"The Algorithmic Turn in Talent Acquisition: A Critical Analysis of AI-Mediated Recruitment Technologies" Iconic Research And Engineering Journals, 8(9)
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