“CHALLENGES IN IMPLEMENTING ARTIFICIAL INTELLIGENCE USING GHRM PRACTICES IN PRIVATE BANKING SECTOR”

Abstract

Main Objectives: The main objective is to study the challenges in implementing artificial intelligence using GHRM practices in private sector banks. Novelty: In private sector banks most of the GHRM related research conducted by focusing existing HR practices, this paper, therefore focus on the challenges faced in implementing artificial intelligence using GHRM. Research Methods: The relevant information was collected from primary sources by circulating questionnaires among employees of different private banks and secondary sources, such as journals, articles and websites. Based on data collected, the challenges faced in implementing artificial intelligence using GHRM are explained. Contributions: This study will assist the persons working in private banks to pay attention to the benefits and importance of adopting AI in GHRM. Conclusion: Artificial intelligence applied to green HRM practices has the potential to significantly enrich data quality and availability, bias in recruitment, transparency in data, ethical and legal considerations and technical expertise. As private banks are progressing and increasing in number this is a high time to implement AI using GHRM.