Open AccessApplication of AI in Human Resource Management and Gen Y’s Reaction
Author(s) -
Suruchi Pandey,
Pridarshini Khaskel
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4585.118419
Subject(s) - ibm , population , human resources , perception , psychology , sample (material) , knowledge management , public relations , medical education , artificial intelligence , computer science , management , political science , sociology , medicine , economics , chemistry , materials science , demography , chromatography , neuroscience , nanotechnology
HR is facing the transformation challenge and disruptive impact of AI in its functions. In this study, we shall bring into light certain challenges faced by AI in HR and the technological counter solutions to it that have been reinstated. Many companies like IBM, have reengineered its HR service delivery strategy to render intelligent agents to the services being provided toits managers and associates, answer their queries and suggest decisive aspects of employees roles, careers, rewards, compensation and learning. Also United Health Group is on building a graph database which uses AI to identify improvements in efficiency and quality of services. Such instances create the need to study the reaction of the Gen y which composes more than the 50% of the working population i.e population under 25 and around 65% is under the age of 35 and their reaction to the transformation in HR systems to it quotes Forbes study1,7, 27 . A qualitative study was carried out and Gen Y professionals were interviewed to seek the feedback. The HR themes and functional areas were identified which are perceived as areas where application of AI is possible. A deep-learning model using Neuroph Studio was created to capture the perception of the young working professionals. The study brings out the statistics to a clear majority of the sample to believe that AI must be implemented in the current HR systems. The research is useful to current practitioners of profession of HR. The study implies that AI will enter HR roles and working population is ready for it. The study is good indicator for artificial intelligence developers as areas of application are identified