Home // ICSEA 2022, The Seventeenth International Conference on Software Engineering Advances // View article
Authors:
Gabriel Soares
Rafael de Mello
Keywords: Fairness; Machine Learning; Court Lawsuits; Bias.
Abstract:
The use of fairness has been pointed out as an alternative to avoid or mitigate biases in decision-making processes that use machine learning. This work aims to identify, evaluate and interpret studies that present details about the method, tools and use of fairness tests. This is a systematic review study, through the selection of articles on the topic of fairness and machine learning in judicial decision-making processes. As a result, it was possible to understand the state of the art of the use of fairness in the context of the justice system, analyzing the quality, challenges and difficulties found in the literature.
Pages: 108 to 111
Copyright: Copyright (c) IARIA, 2022
Publication date: October 16, 2022
Published in: conference
ISSN: 2308-4235
ISBN: 978-1-61208-997-3
Location: Lisbon, Portugal
Dates: from October 16, 2022 to October 20, 2022