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Computer Science > Software Engineering

arXiv:2409.02433 (cs)
[Submitted on 4 Sep 2024]

Title:From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption

Authors:Thanh Nguyen, Luiz Fernando de Lima, Maria Teresa Badassarre, Ronnie de Souza Santos
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Abstract:In today's world, we need to ensure that AI systems are fair and unbiased. Our study looked at tools designed to test the fairness of software to see if they are practical and easy for software developers to use. We found that while some tools are cost-effective and compatible with various programming environments, many are hard to use and lack detailed instructions. They also tend to focus on specific types of data, which limits their usefulness in real-world situations. Overall, current fairness testing tools need significant improvements to better support software developers in creating fair and equitable technology. We suggest that new tools should be user-friendly, well-documented, and flexible enough to handle different kinds of data, helping developers identify and fix biases early in the development process. This will lead to more trustworthy and fair software for everyone.
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:2409.02433 [cs.SE]
  (or arXiv:2409.02433v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2409.02433

Submission history

From: Ronnie de Souza Santos Dr [view email]
[v1] Wed, 4 Sep 2024 04:23:08 UTC (1,383 KB)
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