Ethical AI in Human Resources

As artificial intelligence becomes increasingly embedded in HR practices—from hiring algorithms to performance tracking tools—the tension between innovation and fairness has never been more pressing. While AI promises efficiency, consistency, and scalability, it also risks entrenching systemic biases and reducing human beings to data points. This chapter critically examines the ethical challenges posed by AI in human resource management, focusing on the delicate balance between technological progress and the preservation of human dignity. Drawing on real-world cases and current research, the chapter explores the pitfalls of algorithmic bias, the need for explainable AI, and the moral imperative to design systems that serve—not supplant—people. It calls for a new paradigm in which fairness, transparency, and inclusivity guide AI implementation in HR. Ultimately, it argues that organizational excellence in the digital age is not just about automation, but about ensuring that innovation remains grounded in ethical human values.