Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)

Ai Based Techniques to Detect and Prevent Dark Personality Traits In Organizational Settings

Authors
Haripriya Nagasubramanian1, T. S. Saranya2, *, Sandeep Kumar Gupta3
1Independent Researcher, Bengaluru, India
2Head of the Institute, AIBHAS, Amity University Bengaluru, Bengaluru, India
3Mohan Babu University, Tirupati, India
*Corresponding author. Email: saranya.t@cmr.edu.in
Corresponding Author
T. S. Saranya
Available Online 18 November 2025.
DOI
10.2991/978-94-6463-898-1_18How to use a DOI?
Keywords
“AI in personality detection”; “dark triad traits detection using AI”; “Deep Learning (DL) in personality detection”; “Convolutional Neural Networks (CNN) in detecting personality”; “HCI and AI integration in the workplace”; “HCI in detecting personality”; “Ethics of AI in employee monitoring”
Abstract

This review paper analyses the role of HCI (Human Computer Interface) and AI (Artificial Intelligence) techniques in detecting dark personalities within organizational settings, focusing on personality screening and prediction. In this review, the effectiveness of AI, notably deep learning (DL) algorithms, in boosting the prediction diagnostic precision of personalities, minimizing false positives, and improving operational efficiency is showcased. Various DL and ML frameworks show great promise in supporting human resources personnel by enhancing both sensitivity and specificity in identifying personalities. Nevertheless, challenges such as algorithmic bias, implementation difficulties, need for training the data and the necessity for varied data sets impede widespread organizational implementation. Regardless, the results highlight that incorporating AI and HCI algorithms into organizational routines can transform dark triad of personality in workplace settings, facilitating earlier detection and optimizing resources. The analysis stresses the need for additional validation and training for human resource professionals to guarantee the smooth integration of AI technology into organizational practices.

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 International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
18 November 2025
ISBN
978-94-6463-898-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-898-1_18How 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

TY  - CONF
AU  - Haripriya Nagasubramanian
AU  - T. S. Saranya
AU  - Sandeep Kumar Gupta
PY  - 2025
DA  - 2025/11/18
TI  - Ai Based Techniques to Detect and Prevent Dark Personality Traits In Organizational Settings
BT  - Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)
PB  - Atlantis Press
SP  - 227
EP  - 246
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-898-1_18
DO  - 10.2991/978-94-6463-898-1_18
ID  - Nagasubramanian2025
ER  -