ABSTRACT: The integration of Artificial Intelligence (AI) into human resource management has revolutionized traditional practices particularly in recruitment and onboarding. Recruitment the process of identifying and hiring the best-qualified candidate for a job and onboarding the strategic integration of new hires into an organization are vital for maintaining a competitive workforce (Breaugh, 2008; Bauer, 2010). Historically, recruitment involved labour-intensive, time-consuming methods such as job advertisements, resume screening, and in-person interviews, which often led to inconsistent hiring outcomes (Barber, 1998; Chapman & Webster, 2003).
[1]
Ajunwa, I. (2020). The Paradox Of Automation As Anti-Bias Intervention. Cardozo Law Review, 41(4), 1671–1740.
[2]
Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities And Challenges Toward Responsible AI. Information Fusion, 58, 82–115.
[3]
Barber, A. E. (1998). Recruiting Employees: Individual And Organizational Perspectives. Sage.
[4]
Barney, J. (1991). Firm Resources And Sustained Competitive Advantage. Journal Of Management, 17(1), 99–120.
[5]
Barocas, S., Hardt, M., & Narayanan, A. (2017). Fairness And Machine Learning.
[6]
Bauer, T. N. (2010). Onboarding New Employees: Maximizing Success. SHRM Foundation's Effective Practice Guidelines Series.
