Balancing AI Innovation and Ethics in Employee Recruitment and Retention

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Authors: Michele E. Ewing, Stefanie Moore
Cited by: 0

Abstract

Artificial intelligence (AI) is reshaping human resource (HR) functions and internal communications and influencing employee experiences across the entire lifecycle from recruitment and onboarding to retention, communication, and exit interviews. AI tools promise many benefits for HR practices, like data-driven decision-making, efficiency through automating tasks, and more qualified candidate matching. They also raise significant ethical challenges such as algorithm bias, data privacy breaches, and a lack of transparency. Similarly, AI applications in employee communication and engagement, such as delivering more tailored content to employees, providing instant responses to questions through chatbots, and generating actionable insights from surveys and feedback data to improve engagement and workplace satisfaction. At the same time, they carry ethical risks, including reduced authenticity in AI-generated messages, a lack of transparency in communication, potential misinterpretation of employee sentiment, and erosion of employee trust. This chapter examines the ethical considerations of integrating AI in HR across the employee journey from hiring to departure, including recruitment, communication, and engagement. It focuses on ensuring that AI innovation enhances rather than undermines fairness, trust, and equity in the workplace. Drawing on both research and practice, the chapter provides practical guidance to identify and mitigate ethical risks, introduces ethical frameworks for responsible decision-making, and aligns AI use with organizational values.

Fields of Study & Subjects

AI and HR Technologies Ethics and Social Impacts of AI Employer Branding and e-HRM

Publication details

Journal / source
Routledge eBooks
Pages
223–246
Publication date
12 March 2026
Language
EN
Document type
Book chapter