The results indicate that although AI will take away lower-level jobs via automation, it is difficult for top level hiring to be done largely via AI.
Vaibhav Aggarwal, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Ankita Arora, Apeejay School of Management, Delhi, India.
Adesh Doifode, Institute for Future Education, Entrepreneurship and Leadership, Pune, Maharashtra, India.
There has been explosion of Artificial Intelligence (AI) in recent times and sweeps through various industries and developments tools. These tools are increasingly being also used in Human Resource Management for hiring, training, employee engagement, promotions, decision-making, speed and accuracy of work and removing the daily hurdles with high end technology.
Machine learning algorithms, chatbots, robots help the process to achieve organization goals. This study aims at understanding the intensity of increase in usage of AI by human resource managers across different organizations of different sizes.
The five-point Likert scale to develop the questionnaire is used to survey the participating HR managers in the Indian context. The findings of this study are multi-fold.
First, the results indicate that although AI will take away lower-level jobs via automation, but it is difficult for top level hiring to be done largely via AI. Second, our results also depict those jobs which require more human touch can’t be easily replaced by automation.
Finally, promotion decisions based only on automation can result in errors and hence it is also important to have human interaction before arriving at an outcome.
Published in: Expert Clouds and Applications pp 529–541, Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 444).
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