The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

3 February 2022

Satyapriya Krishna

Himabindu Lakkaraju

Papers citing "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective"

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Title
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 46 4 0 15 Jun 2021
Explainable Activity Recognition for Smart Home Systems Devleena Das Yasutaka Nishimura R. Vivek Naoto Takeda Sean T. Fish Thomas Ploetz Sonia Chernova 22 40 0 20 May 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 20 63 0 27 Mar 2021
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making S. McGrath Parth Mehta Alexandra Zytek Isaac Lage Himabindu Lakkaraju UD 8 25 0 12 Nov 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017