Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

AI-Enabled Human Resource Systems for Advancing Un Sustainable Development Goals in Multinational Companies

Authors
Z. Sayeedha Firdouse1, *
1Department of Management Studies, Bharath Institute of Higher Education and Research, Chennai, India
*Corresponding author. Email: firdousesayeedha5695@gmail.com
Corresponding Author
Z. Sayeedha Firdouse
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_29How to use a DOI?
Keywords
Artificial Intelligence; Human Resource Management; Sustainable Development Goals; Green HRM; Diversity and Inclusion; Ethical Governance; Multinational Corporations
Abstract

Artificial Intelligence (AI) is increasingly transforming Human Resource Management practices in multinational corporations, creating new opportunities to support the United Nations’ Sustainable Development Goals (SDGs). Although organizations are investing heavily in AI-based HR systems, there is limited empirical evidence on how these technologies contribute to sustainability, particularly in the Indian context. This study examines the role of AI-enabled HR practices in promoting SDG achievement in selected multinational companies in Chennai. The research focuses on four key HRM dimensions: Green HRM, Diversity and Inclusion, Employee Development, and Ethical Governance. Primary data were collected through a structured questionnaire from 200 respondents, including employees and HR professionals, selected using purposive sampling. Statistical tools such as descriptive analysis, reliability testing, correlation, and regression were employed for data analysis. The findings reveal that AI-driven Green HRM and Ethical Governance significantly enhance sustainability outcomes, while AI-based recruitment and digital learning platforms positively influence diversity and employee development. The study concludes that AI-supported HR practices play a vital role in fostering transparency, inclusiveness, data-driven decision-making, and environmental responsibility, thereby contributing meaningfully to SDG progress in multinational organizations.

Copyright
© 2026 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 Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_29How to use a DOI?
Copyright
© 2026 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

TY  - CONF
AU  - Z. Sayeedha Firdouse
PY  - 2026
DA  - 2026/04/24
TI  - AI-Enabled Human Resource Systems for Advancing Un Sustainable Development Goals in Multinational Companies
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 347
EP  - 357
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_29
DO  - 10.2991/978-94-6239-654-8_29
ID  - Firdouse2026
ER  -