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

2019/07/01 by R. K. E. Bellamy, K. Dey, M. Hind +15 · 4 citations

paper · doi:10.1147/jrd.2019.2942287

crossref issued 2019/07/01 · crossref published 2019/07/01 · crossref published-print 2019/07/01 · crossref created 2019/09/18 · crossref deposited 2025/10/20 · crossref indexed 2026/08/04

Cited by

• DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
• Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
• Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
• MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods