Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)

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AI and Workforce Diversity: A Structural Model for Inclusive Hiring in the Digital Age

Authors
Nitish Kumar Minz1, Manish Kumar2, Monika Yadav3, *, Chandra Mohan4
1VIT Business School, Vellore Institute of Technology, Vellore, Tamil Nadu, India
2L N Mishra College of Business Management, Muzaffarpur, Bihar, India
3School of Management & Commerce, K.R. Mangalam University, Gurugram, 122103, India
4School of Basic & Applied Sciences, K R Mangalam University, Gurugram, 122103, India
*Corresponding author. Email: monikayadav5008@gmail.com
Corresponding Author
Monika Yadav
Available Online 19 April 2026.
DOI
10.2991/978-94-6239-644-9_3How to use a DOI?
Keywords
Inclusive Hiring; Workforce Diversity; Algorithmic Fairness; Recruiter Trust; AI Bias Awareness; Structural Equation Modeling
Abstract

This research investigates the transformative role of Artificial Intelligence (AI) in Human Resource Management (HRM), particularly in fostering inclusive hiring by reducing unconscious bias. It introduces two novel constructs—AI Bias Awareness and Inclusion Technology Readiness—to examine how psychological and technological factors influence the intention to adopt AI for diversity-focused recruitment. Data was collected from 402 HR professionals in AI-adopting Indian firms using purposive sampling and a structured online questionnaire. Covariance-based Structural Equation Modeling (CB-SEM) with AMOS v25 was employed to test direct, mediated, and moderated relationships among key constructs. Results indicate that perceived algorithmic fairness and recruiter trust significantly affect inclusive hiring intentions. AI bias awareness enhances fairness perceptions, which subsequently build trust. Inclusion readiness further moderates this relationship. The study contributes a validated, multi-dimensional model of inclusive AI adoption in HRM and offers actionable insights for aligning AI hiring systems with Diversity, Equity, and Inclusion (DEI) goals.

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 Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)
Series
Advances in Engineering Research
Publication Date
19 April 2026
ISBN
978-94-6239-644-9
ISSN
2352-5401
DOI
10.2991/978-94-6239-644-9_3How 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

risenwbib
TY  - CONF
AU  - Nitish Kumar Minz
AU  - Manish Kumar
AU  - Monika Yadav
AU  - Chandra Mohan
PY  - 2026
DA  - 2026/04/19
TI  - AI and Workforce Diversity: A Structural Model for Inclusive Hiring in the Digital Age
BT  - Proceedings of the Global Innovation and Technology Summit “AAROHAN 3.0”_Engineering track (GITS-EAS 2025)
PB  - Atlantis Press
SP  - 11
EP  - 40
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-644-9_3
DO  - 10.2991/978-94-6239-644-9_3
ID  - Minz2026
ER  -