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  • 2020
  • Conference Presentation

An Empirical Study of the Trade-Offs Between Interpretability and Fairness

By: Shahin Jabbari, Han-Ching Ou, Himabindu Lakkaraju and Milind Tambe
  • Format:Print
  • | Language:English
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Citation

Jabbari, Shahin, Han-Ching Ou, Himabindu Lakkaraju, and Milind Tambe. "An Empirical Study of the Trade-Offs Between Interpretability and Fairness." Paper presented at the ICML Workshop on Human Interpretability in Machine Learning, International Conference on Machine Learning (ICML), 2020.
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About The Author

Himabindu Lakkaraju

Technology and Operations Management
→More Publications

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More from the Authors
  • Fair Machine Unlearning: Data Removal while Mitigating Disparities By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
  • Quantifying Uncertainty in Natural Language Explanations of Large Language Models By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
  • Post Hoc Explanations of Language Models Can Improve Language Models By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
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