Jun 9, 2023 · We introduce Bias on Demand: a modelling framework to generate synthetic datasets that contain various types of bias. Furthermore, we clarify ...

The Bias Report is powered by Aequitas, an open-source bias audit toolkit for machine learning developers, analysts, and policymakers.

Aug 9, 2021 · FairLens is an open-source Python library for automatically discovering biases in data products. The goal of FairLens is to enable data practitioners to gain a ...

Fairkit-learn is an open-source Python toolkit designed to help data scientists evaluate and explore machine learning models with respect to quality and ...

Dec 6, 2023 · With this demo, we in- troduce FABRICATOR, an open-source Python toolkit for dataset generation. FABRICATOR implements common dataset generation ...

aequitas is an open-source bias auditing and Fair ML toolkit for data scientists, machine learning researchers, and policymakers.

This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application ...

Aequitas is an open-source bias audit toolkit for machine learning developers, analysts, and policymakers to audit machine learning models for discrimination ...

Jun 23, 2022 · IBM launched AI Fairness 360, an open-source toolkit to check for and mitigate bias in datasets and ML models, in 2018. Later, it built on this ...

May 6, 2024 · The integration of open-source toolkits presents a promising approach to combat bias in AI systems. By leveraging these toolkits and adopting ...