Impacts of Social Factors in Wage Definitions

Arthur Rodrigues Soares de Quadros, Sarah Luiza de Souza Magalhães, Giulia Zanon de Castro, Jéssica Assunção da Almeida de Lima, Wladmir Cardoso Brandão, Alessandro Garcia Vieira

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