Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Evolving Human Resource Management: Admitting the Power of Artificial Intelligence

Authors
Suraj Francis Noronha1, Aruna Doreen Manezes2, *, Poornima shetty2, V. S. Shrishma Rao2
1Shri MadwaVadiraja Institute of Technology and Management, Bantakal, Udupi, 574 115, Karnataka, India
2Directorate of Online Education, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
*Corresponding author. Email: aruna.manezes@manipal.edu
Corresponding Author
Aruna Doreen Manezes
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_25How to use a DOI?
Keywords
Human Resource Management (HRM); Artificial Intelligence (AI); Computational Intelligence (CI); Recruitment and Selection; Talent Acquisition (TA); Performance Management (PM); Employee engagement (EE)
Abstract

The swift evolution of computational intelligence (CI) technologies, including AI, ML, NLP, and data analytics, has reshaped human resource management. These tools automate routine tasks and bring strategic transformation across HR functions. This literature review synthesizes recent research on AI integration in recruitment, talent acquisition, performance management, employee engagement, and retention. It highlights enhanced decision-making, reduced workload, and data-driven strategies, while also noting the use of sentiment analysis and predictive models to boost morale and reduce turnover. Critical concerns include bias, transparency, and privacy. The review maps developments, identifies gaps, and proposes future research through interdisciplinary collaboration and empirical validation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_25How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Suraj Francis Noronha
AU  - Aruna Doreen Manezes
AU  - Poornima shetty
AU  - V. S. Shrishma Rao
PY  - 2025
DA  - 2025/12/31
TI  - Evolving Human Resource Management: Admitting the Power of Artificial Intelligence
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 269
EP  - 281
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_25
DO  - 10.2991/978-94-6463-978-0_25
ID  - Noronha2025
ER  -