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Balancing Automation with Human centered HR Practices

Sandeep Kumar Gupta, T. S. Saranya (), Anjali Saluja, Gimcule, Darisha Kharmih, T. L. Ashalatha and Kiniholi Yeptomi
Additional contact information
Sandeep Kumar Gupta: Mohan Babu University
T. S. Saranya: Head of the Institute, AIBHAS, Amity University Bengaluru
Anjali Saluja: NIET Business School
Gimcule: Independent Researcher
Darisha Kharmih: Independent Researcher
T. L. Ashalatha: Independent Researcher
Kiniholi Yeptomi: Independent Researcher

A chapter in Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), 2025, pp 202-226 from Springer

Abstract: Abstract Automation plays a constant role in the formation of the modern-day workplace. In the human resources (HR) area, technology is to be integrated in a manner that keeps its human dimension intact. Though automating aids in the streamlining of processes, will assist with decision making, and be an operationally efficient measure, it equally raises all sorts of questions regarding employee engagement, job losses, and ethical issues. This paper will therefore focus on strategies that allow for the balancing of automation with a human-centered HR strategy, one in which employees are kept engaged, have a sense of belonging, and are motivated in the increasingly digital world of work. Discussions will lead to machine learning applications in HR while also addressing moral questions regarding AI-based decision-making and the well-being of the employee. Next, we will discuss how organizations can make AI work for them in recruitment, talent management, and employee development while maintaining that well-deserved humane touch that characterizes well-functioning HR. Thus, discussing these challenges and avenues would set the groundwork for organizations to responsibly use automation and build a culture placing people over machinery efficiency.

Keywords: Automation; Human-Centered HR; Workplace Technology; Employee Experience; HR Ethics (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-898-1_17

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DOI: 10.2991/978-94-6463-898-1_17

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