Explainable AI in Labor Market Applications

Gabriel Bicharra Santini Pinto, Carlos Eduardo Mello, Ana Garcia

2025

Abstract

The adoption of artificial intelligence (AI) applications has been accelerating in the labor market, driving productivity gains, scalability, and efficiency in human resource management. This progress has also raised concerns about AI’s negative impacts, such as flawed decisions, biases, and inaccurate recommendations. In this context, explainable AI (XAI) plays a crucial role in enhancing users’ understanding, satisfaction, and trust. This systematic review provides a segmented overview of explainability methods applied in the labor market. A total of 266 eligible studies were identified during the search and evaluation process, with 29 studies selected for in-depth analysis. The review highlights the different explainability requirements expressed by users of human resource systems. Additionally, it identifies the processes, tasks, and corresponding explain-ability methods implemented.

Paper Citation

in Harvard Style

Pinto G., Mello C. and Garcia A. (2025). Explainable AI in Labor Market Applications. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 1450-1457. DOI: 10.5220/0013384100003890

in Bibtex Style

@conference{icaart25,
author={Gabriel Pinto and Carlos Mello and Ana Garcia},
title={Explainable AI in Labor Market Applications},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={1450-1457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013384100003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Explainable AI in Labor Market Applications
SN - 978-989-758-737-5
AU - Pinto G.
AU - Mello C.
AU - Garcia A.
PY - 2025
SP - 1450
EP - 1457
DO - 10.5220/0013384100003890
PB - SciTePress