The Future of AI in the Revolutionizing Talent Management in the Workplace

T. S. Saranya, Sandeep Kumar Gupta (), Darisha Kharmih, Chhaya Dubey, Pooja Goel and Anupma Sinha
Additional contact information
T. S. Saranya: AIBHAS, Amity University, Head of the Institute
Sandeep Kumar Gupta: Mohan Babu University
Darisha Kharmih: Independent Researcher
Chhaya Dubey: Christ Academy Institute of Law
Pooja Goel: Noida International University
Anupma Sinha: Banaras Hindu University

A chapter in Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), 2025, pp 453-462 from Springer

Abstract: Abstract The paper explores how Artificial Intelligence also known as AI has transformed The Talent Management in the work set-up. By using a mixed-method research design, the authors they consider the applications of qualitative interviews and quantitative surveys among the HR professionals and the workers or the employees to understand the effectiveness, efficiency, advantages, as well as challenges posed by AI-empowered HR management. The highest it indicate that AI considerably has improved recruitment speed, tailored learning and development, indicative workforce planning, and also helps in the timely real-time employee keeping based on belief analysis. Simultaneously with the study outcome, there is significant ethical concerns which include algorithmic bias, issues of data privacy, and the possibility of the exploitation of HR processes. The implication of the research it indicates that such potentially powerful transformations in talent management, it should also be based on ethical frameworks as well as human-centered practices to ensure the fairness, the transparency, and the empathy in the decision-making process.

Keywords: Artificial Intelligence; Talent Management; Workforce Planning; Recruitment; Employee Engagement; Machine Learning; HR Technology; Predictive Analytics (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-898-1_31

Ordering information: This item can be ordered from
http://www.springer.com/9789464638981

DOI: 10.2991/978-94-6463-898-1_31

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().