AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

RKE Bellamy, K Dey, M Hind… - IBM Journal of …, 2019 - ieeexplore.ieee.org
… open source Python toolkit for algorithmic fairness, AI Fairness 360 (… of this toolkit are to help
facilitate the transition of fairness … for fairness researchers to share and evaluate algorithms. …

[PDF][PDF] AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

K Kannan, P Lohia, J Martino, S Mehta, A Mojsilovic… - krvarshney.github.io
… -source Python toolkit for algorithmic fairness, AI Fairness 360 (… of this toolkit are to help
facilitate the transition of fairness … a common framework for fairness researchers to share and …

[图书][B] AI fairness

T Mahoney, K Varshney, M Hind - 2020 - krvarshney.github.io
… the open source tools available in AI Fairness 360 (AIF360). … AIF360 is an extensible, open
source toolkit for measuring, … in bias detection and mitigation. It offers a Python tutorial on …

The landscape and gaps in open source fairness toolkits

MSA Lee, J Singh - Proceedings of the 2021 CHI conference on human …, 2021 - dl.acm.org
Fairness 360 briefy described past toolkits that were relatively limited in functionalities. The
objective of Fairness 360AI Fairness 360: An extensible toolkit for detecting and mitigating …

Towards fairness AI: A data-centric approach

U Ojha - 2022 - webthesis.biblio.polito.it
… from Synthesized SDK and AI Fairness Toolkit 360. We will … such tools and frameworks that
are widely used to detect and … developed by IBM is an open-source, extensible library that …

A framework for fairness: A systematic review of existing fair AI solutions

B Richardson, JE Gilbert - arXiv preprint arXiv:2112.05700, 2021 - arxiv.org
… LiFT is a recently released toolkit that provides fairness detection strategies for measuring …
to AI Fairness 360, they do not produce their own visualizations. Unlike previous toolkits, they …

Fairframe: a fairness framework for bias detection and mitigation in news

D Sallami, E Aïmeur - AI and Ethics, 2024 - Springer
… Furthermore, we integrate an explainable AI module post-detection, which enhances
transparency and bolsters the perception of fairness. Finally, we uniquely employ LLMs in our bias …

Introduction to AI fairness

Y Zhang, RKE Bellamy, M Singh, QV Liao - Extended Abstracts of the …, 2020 - dl.acm.org
… That team most recently contributed to several IBM Research's Trusted AI projects, including
the AI Fairness 360 and AI Explanability 360. Rachel received her doctorate in cognitive …

Exploring how machine learning practitioners (try to) use fairness toolkits

WH Deng, M Nagireddy, MSA Lee, J Singh… - … on Fairness …, 2022 - dl.acm.org
… how participants learn about and use fairness toolkits, and explored the … We identified several
opportunities for fairness toolkits to … AI Fairness 360: An extensible toolkit for detecting and …

Introduction to AI fairness

Y Zhang, R Bellamy, QV Liao, M Singh - … of the 2021 CHI Conference on …, 2021 - dl.acm.org
… of open source toolkits that can be used to assess AI fairness. … it is one of the few toolkits that
implement not only the metrics … Fairness 360 and AI Explainability 360 open source toolkits, …