A study on Implementation of Artificial Intelligence in Automotive Industry towards Human Resources
Title
A study on Implementation of Artificial Intelligence in Automotive Industry towards Human Resources
Authors
Gayathri | Shobharani
Keywords
Artificial Intelligence | Industry 5.0
Publication Details
Vol: 11; No: 1; Mar. 25 | ISSN: 2455-3921
Abstract
AI is gaining huge traction and is having traits of smart manufacturing. Artificial Intelligence is progressing rapidly, mimicking cognitive skills of humans. In last few years, however, AI has made significant advancements and has attracted significant investment and research attention. Considering future of human resources function or tasks and their response to artificial intelligence, researcher has chosen this futuristic area of research. The new economy will thrive around prediction technology and applications, which make performing arithmetic cheap. Our economic framework and reforms need to be futuristic driven, more aggressive and create enough incentive for research in AI. As the advancement in AI has progressed, it has surely turned into an asset for many of the organizational functions, which either involved too much of human risks or were too routine and repetitive in nature. The study sheds light on the growing integration of AI in Human Resource Management (HRM). This is a conceptual paper based on descriptive research methods. The research draws on data collected from articles, and academic journals. Findings indicate that AI-based tools in automotive industries and most employees favour AI-driven in industries. However, some employees feel that these methods lack the personal touch of human interaction. The scope of this study is limited to automotive industries. The implementation of AI tools in automotive industry is shown to enhance efficiency in HR development. This paper provides valuable insights for researchers interested in understanding AI in automotive industry and also this study explores the impact of Artificial Intelligence (AI) on Human Resources Practices. By focusing on key outcomes such as accuracy, automation, computing power & capacity, real-time experience, personalization, and time-saving & cost saving.
Correspondence
Gayathri NM, Research Scholar, Kuvempu University, PG Centre, Kadur, Karnataka, India
