Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping

Marcelo Mattos, Sean Siqueira, Ana Garcia

2024

Abstract

Artificial intelligence (AI) is being employed in many fields, including healthcare. While AI has the potential to improve people’s lives, it also raises ethical questions about fairness and bias. This article reviews the challenges and proposed solutions for promoting fairness in medical decisions aided by AI algorithms. A systematic mapping study was conducted, analyzing 37 articles on fairness in machine learning in healthcare from five sources: ACM Digital Library, IEEE Xplore, PubMed, ScienceDirect, and Scopus. The analysis reveals a growing interest in the field, with many recent publications. The study offers an up-to-date and comprehensive overview of approaches and limitations for evaluating and mitigating biases, unfairness, and discrimination in healthcare-focused machine learning algorithms. This study’s findings provide valuable insights for developing fairer, equitable, and more ethical AI systems for healthcare.

Paper Citation

in Harvard Style

Mattos M., Siqueira S. and Garcia A. (2024). Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 815-822. DOI: 10.5220/0012394700003636

in Bibtex Style

@conference{icaart24,
author={Marcelo Mattos and Sean Siqueira and Ana Garcia},
title={Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={815-822},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012394700003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping
SN - 978-989-758-680-4
AU - Mattos M.
AU - Siqueira S.
AU - Garcia A.
PY - 2024
SP - 815
EP - 822
DO - 10.5220/0012394700003636
PB - SciTePress