Ethical Implications And Workforce Adaptation In The Era Of Generative AI: A Deep Dive Into HRM Practices

Abstract

In recent years, the integration of generative artificial intelligence (AI) systems, exemplified by models like ChatGPT, into various industries has transformed operational dynamics, notably within human resource management (HRM). This paper seeks to elucidate the profound ethical implications and challenges stemming from the deployment of such AI within HRM processes. As AI-driven solutions become central to recruitment, talent management, and employee engagement, concerns about biases, fairness, and surveillance have become paramount. These AI systems, while optimizing certain HR tasks, might inadvertently perpetuate existing biases or introduce new ones, leading to potentially skewed recruitment outcomes or imbalanced talent management decisions. Additionally, the increased reliance on AI tools may raise concerns about excessive surveillance in the workplace, potentially infringing on employee privacy rights and affecting overall morale. Amidst these challenges, it is imperative for organizations to prioritize workforce adaptation. Through real-world case studies, we shed light on enterprises that have seamlessly and ethically integrated AI into their HRM, highlighting both the hurdles they encountered and the innovative solutions they employed. As we stand on the cusp of an AI-driven HRM revolution, this research provides a timely and comprehensive overview, guiding organizations in ethically embracing generative AI while ensuring a harmonious human-AI collaboration in the HR domain.