Impacts of Social Factors in Wage Definitions

Arthur Soares de Quadros, Sarah Magalhães, Giulia Zanon de Castro, Jéssica Almeida de Lima, Wladmir Brandão, Alessandro Vieira

2023

Abstract

Now more than ever, automated decision-making systems such as Artificial Intelligence models are being used to make decisions based on sensible/social data. For this reason, it is important to understand the impacts of social features in these models for salary predictions and wage classifications, avoiding to perpetuate unfairness that exists in society. In this study, publicly accessible data about job’s and employee’s information in Brazil was analyzed by descriptive and inferential statistical methods to measure social bias. The impact of social features on decision-making systems was also evaluated, with it varying depending on the model. This study concluded that, for a model with a complex approach to analyze the training data, social features are not able to define its predictions with an acceptable pattern, whereas for models with a simpler approach, they are. This means that, depending on the model used, an automated decision-making system can be more, or less, susceptible to social bias.

Paper Citation

in Harvard Style

Soares de Quadros A., Magalhães S., Zanon de Castro G., Almeida de Lima J., Brandão W. and Vieira A. (2023). Impacts of Social Factors in Wage Definitions. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-672-9, SciTePress, pages 140-151. DOI: 10.5220/0012236300003584

in Bibtex Style

@conference{webist23,
author={Arthur Soares de Quadros and Sarah Magalhães and Giulia Zanon de Castro and Jéssica Almeida de Lima and Wladmir Brandão and Alessandro Vieira},
title={Impacts of Social Factors in Wage Definitions},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2023},
pages={140-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012236300003584},
isbn={978-989-758-672-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Impacts of Social Factors in Wage Definitions
SN - 978-989-758-672-9
AU - Soares de Quadros A.
AU - Magalhães S.
AU - Zanon de Castro G.
AU - Almeida de Lima J.
AU - Brandão W.
AU - Vieira A.
PY - 2023
SP - 140
EP - 151
DO - 10.5220/0012236300003584
PB - SciTePress