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Algorithmic HRM: Opportunities and Ethical Challenges in AI-Driven Talent Acquisition
Abstract
This chapter examines the emergence of Algorithmic Human Resource Management (HRM) within the framework of AI-driven talent acquisition. It analyzes the incorporation of artificial intelligence, machine learning, and natural language processing into recruitment procedures, emphasizing the prospective advantages of enhanced efficiency, bias mitigation, and astute candidate alignment. The chapter critically examines the ethical dilemmas associated with algorithmic systems, such as discrimination, opacity, and data privacy concerns. The chapter underscores the necessity for responsible AI governance in Human Resource Management by referencing worldwide legislative frameworks like the GDPR and the EU AI Act. It also examines the transforming role of HR professionals as ethical custodians and delineates prospective research trajectories toward inclusive, human-centered algorithmic systems. This chapter integrates theoretical ideas with practical implications, fostering a more equal and transparent future for AI in human resources.
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