A General Survey of the Use Cases of Artificial Intelligence in Human Resource

Background: such a thorough understanding of this study could best be achieved through conducting in-depth case studies on organizations that have successfully implemented AI in their HR functions, exploring the benefits, challenges, and impact on their workforce, organization, and even the whole of society and a systematic review of existing literature on AI in HR, synthesizing the results of multiple studies to conclude the overall effectiveness, benefits, and challenges associated with AI applications in HR. This study aims to bring out a comprehensive panorama of AI applications in the six sectors of HRM and the impacts of AI implementation in HR on the transformation of business HR practices and its role transformation due to the advent of AI, as well as to promote technological change and ethical policy norms, and legal improvements in this area. Method: We have selected the relevant literature through a scoping study, and we have categorized it according to the six components of the Human Resource Life Cycle. Conclusion: The literature already covers all six of the human resource life cycle's elements as well as its implications for technology and ethical issues. Future studies may concentrate on how AI affects relationships between dimensions and how it affects results that are particular to human resources. Although AI should still be seen as a solution to many of the problems that face human resources management in businesses, practitioners must acknowledge the limits associated with the implementation of AI in HRM.