Key points are not available for this paper at this time.
As organizations increasingly embrace technological advancements, the integration of Artificial Intelligence (AI) into Human Resources (HR) processes emerges as a significant area of focus.This study delves into the evolving landscape of AI adoption in HR and its impact on employee experiences, alongside exploring associated ethical considerations.Through a quantitative approach utilizing surveys with open and closed-ended questions among HR professionals, the research seeks to address its key objectives.Firstly, it identifies the extent of AI implementation in HR processes across industries.Secondly, it examines employee perceptions and attitudes towards AI in HR and its implications for the future of work.Thirdly, it investigates the relationship between AI adoption in HR and various aspects of employee experiences.Fourthly, it evaluates the effectiveness of training on AI tools in HR.Fifthly, it identifies challenges organizations face in integrating AI into HR processes.Lastly, it assesses the ethical considerations associated with AI adoption in HR.The findings of this study reveal varying degrees of AI integration across HR functions, with recruitment and selection processes leading the adoption.While employees generally perceive AI adoption positively, concerns regarding loss of human touch, fairness, bias, and job displacement emerge as barriers.The study proposes comprehensive training programs, ongoing education, fostering a culture of transparency, bias detection measures, and tailored implementation strategies to address challenges and maximize the benefits of AI in HR.Through these insights, organizations can navigate the complexities of AI integration, ensuring ethical practices, and fostering employee engagement and organizational success in the AI-driven HR landscape.Additionally, it highlights the need for ongoing research to address industry-specific nuances, emotional impacts, and employee engagement in the context of AI-driven HRM.
Bardia et al. (Sun,) studied this question.