Enhancing Workplace Dencision-Making through EQ-Based Artificial Intelligence: A Human-Centric Approach

DOI

10.2991/978-94-6239-789-7_41How to use a DOI?

Keywords

Emotional Intelligence; Artificial Intelligence; Decision-Making; HRM; Human-Centric AI; Workplace Analytics

Abstract

AI has brought about enormous changes in the decision-making process at the workplace since it allows data-driven insights and predictive analytics. Nevertheless, typical AI systems do not have emotional intelligence (EQ), which restricts their efficacy in multi-faceted human-centered situations. This paper discusses the application of EQ in AI systems to facilitate workplace decision-making, especially in Human Resource Management (HRM). The research, based on a mixed-method design that involves survey results from HR professionals and an EQ-enabled AI prototype model, reveals that EQ-based AI systems can positively influence decision accuracy, employee engagement, and organisational performance. The results emphasize that AI based on EQ not only improves rational decision-making but also incorporates empathy, ethical factors, and understanding of contexts. The paper adds to the developing sphere of human-centric AI and offers practical suggestions to organisations aiming to streamline workplace decision-making.

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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TY  - CONF
AU  - Lokesh Kumar
AU  - Manish Srivastava
PY  - 2026
DA  - 2026/10/08
TI  - Enhancing Workplace Dencision-Making through EQ-Based Artificial Intelligence: A Human-Centric Approach
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 627
EP  - 643
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_41
DO  - 10.2991/978-94-6239-789-7_41
ID  - Kumar2026
ER  -