"AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and ..."

Rachel K. E. Bellamy et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-10-30

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1810-01943
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-01943
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR abs/1810.01943 (2018)

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