Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher

Authors

• Jiongli Zhu
• Romila Pradhan
• Boris Glavic
• Babak Salimi

Materials

bibtex

@inproceedings{ZP22,
  author = {Zhu, Jiongli and Pradhan, Romila and Glavic, Boris and Salimi, Babak},
  booktitle = {Proceedings of the 48th International Conference on Management of Data ({SIGMOD}) (Demonstration Track)},
  keywords = {Bias; Explanations},
  pages = {2433--2436},
  projects = {},
  pdfurl = {https://dl.acm.org/doi/pdf/10.1145/3514221.3520170},
  url = {https://doi.org/10.1145/3514221.3520170},
  doi = {10.1145/3514221.3520170},
  video = {https://youtu.be/0gmQFLwpoAI},
  title = {Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher},
  venueshort = {SIGMOD},
  year = {2022}
}

Reference

Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher Jiongli Zhu, Romila Pradhan, Boris Glavic and Babak Salimi Proceedings of the 48th International Conference on Management of Data (SIGMOD) (Demonstration Track) (2022), pp. 2433–2436.