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primary topic: BiasTrap: Runtime Detection of Biased Prediction in Machine Learning Systems

BiasTrap: Runtime Detection of Biased Prediction in Machine Learning Systems
type: AcademicArticle
type: Article
abstract: Machine Learning (ML) systems are now widely used across various fields such as hiring, healthcare, and criminal justice, but they are prone to unfairness and discrimination, which can have serious consequences for individuals and society. Although various fairness testing methods have been developed to tackle this issue, they lack the mechanism to monitor ML system behaviour at runtime continuously. This study proposes a runtime verification tool called BiasTrap to detect and prevent discrimination in ML systems. The tool combines data augmentation and bias detection components to create and analyse instances with different sensitive attributes, enabling the detection of discriminatory behaviour in the ML model. The simulation results demonstrate that BiasTrap can effectively detect discriminatory behaviour in ML models trained on different datasets using various algorithms. Therefore, BiasTrap is a valuable tool for ensuring fairness in ML systems in real time. © 2024, Semarak Ilmu Publishing. All rights reserved.
date: 2024
volume: 40
issue: 2
is part of: Journal of Advanced Research in Applied Sciences and Engineering Technology
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Semarak Ilmu Publishing
type: Organization

Journal of Advanced Research in Applied Sciences and Engineering Technology
type: Collection
issn: 24621943

Shuib Basri
type: Person
given name: Shuib
family name: Basri

Luiz Fernando Capretz
type: Person
given name: Luiz Fernando
family name: Capretz

Ganesh Kumar
type: Person
given name: Ganesh
family name: Kumar

Abdullateef Oluwagbemiga Balogun
type: Person
given name: Abdullateef Oluwagbemiga
family name: Balogun

Hussaini Mamman
type: Person
given name: Hussaini
family name: Mamman

Abdullahi Abubakar Imam
type: Person
given name: Abdullahi Abubakar
family name: Imam

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primary topic: BiasTrap: Runtime Detection of Biased Prediction in Machine Learning Systems