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

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 and mitigating algorithmic bias. IBM Journal of Research and Development, 63(4/5), 2019. [doi]

@article{BellamyDHHHKLMM19-0,
  title = {AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias},
  author = {Rachel K. E. Bellamy and Kuntal Dey and Michael Hind and Samuel C. Hoffman and Stephanie Houde and Kalapriya Kannan and Pranay Lohia and Jacquelyn Martino and Sameep Mehta and Aleksandra Mojsilovic and Seema Nagar and Karthikeyan Natesan Ramamurthy and John T. Richards and Diptikalyan Saha and Prasanna Sattigeri and Moninder Singh and Kush R. Varshney and Yunfeng Zhang},
  year = {2019},
  doi = {10.1147/JRD.2019.2942287},
  url = {https://doi.org/10.1147/JRD.2019.2942287},
  researchr = {https://researchr.org/publication/BellamyDHHHKLMM19-0},
  cites = {0},
  citedby = {0},
  journal = {IBM Journal of Research and Development},
  volume = {63},
  number = {4/5},
}