AIF360
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Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
@mnagired @hoffmansc We have implemented an intersectional bias mitigation algorithm based on https://doi.org/10.1007/978-3-030-87687-6_5 (see also https://doi.org/10.48550/arXiv.2010.13494 for the arxiv version) as discussed further on issue https://github.com/Trusted-AI/AIF360/issues/537. Additional details are available...
Summary The proposed LFR preprocessing algorithm has been advanced through the incorporation of AI measures and optimization of the code. Such updates include the fairness metric calculations, for example, disparity...
With the widespread adoption of machine learning in the real world, the impact of the discriminatory bias has attracted attention. In recent years, various methods to mitigate bias have been...
Hello Team, I am running into some syntax warnings (I guess these are DeprecationWarnings in the earlier Python versions, based on what I am reading) when attempting to run on...
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.