Diptikalyan Saha

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

Rachel Bellamy, Kuntal Dey, Michael Hind et al. · IBM Journal of Research and Development · 2019 · 746 citations

Artificial Intelligence, Extensible Toolkit, Engineering +26

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Rachel Bellamy, Kuntal Dey, Michael Hind et al. · arXiv (Cornell University) · 2018 · 265 citations · Full text

Artificial Intelligence, Extensible Toolkit, Engineering +25

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias

Rachel Bellamy, Kuntal Dey, Michael Hind et al. · arXiv (Cornell University) · 2018 · 259 citations · Full text

Black box fairness testing of machine learning models

Aniya Aggarwal, Pranay Lohia, Seema Nagar et al. · 2019 · 175 citations

Artificial Intelligence, Ai System, Trustworthy Ai +14

ATHENA

Diptikalyan Saha, Avrilia Floratou, Karthik Sankaranarayanan et al. · Proceedings of the VLDB Endowment · 2016 · 153 citations

Ontology-driven System, Ontology-based Data Integration, Engineering +13