Abstract
The global adoption trend of Artificial Intelligence (AI) in Human Resource Management (HRM) is changing organizational processes for human resource professionals around the globe, and India is no different. In this backdrop, this paper delves into the influences of AI on Indian HRM and the opportunities associated with its deployment, challenges commonly encountered, and implications related to ethics in the context of its adoption. Machine learning, natural language processing, predictive analytics — these and many other AI technologies are becoming increasingly mainstream within HR, being applied to functions such as recruitment and onboarding, performance management and employee engagement. These tools have a lot to offer, and some of the benefits of automating HR processes include better efficiency, data-based decision-making, and improved EX. Nonetheless, there are some challenges with AI in Indian HRM. Such constraints consist of infrastructure limitations, high digital divide between large corporate firms and their small enterprise counterparts, lack of AI readiness of HR professionals, and integration issues with legacy systems. In addition, ethical issues including algorithmic bias, data privacy, and absence of transparency in AI decision-making processes raises queries about fairness, accountability, and trust. These challenges are more pronounced in a diverse country like India which also has high socio-economic disparity. The article advocates the need for strong governance frameworks, better AI practices and ongoing HR upskilling for the responsible adoption of AI. It also provides an in-depth exploration of the human resource management impact (and implications) of AI in India through the analysis of current trends, case studies and policy initiatives. It ends with present’s approaches to balance between innovation and human-cantered values, before rallying for an AI HR ecosystem that is future-ready, inclusion-centric, and ethically oriented.