Stop Explaining Black Box Machine Learning Models for High Stakes
Decisions and Use Interpretable Models Instead

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Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

26 November 2018

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Papers citing "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead"

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Title
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 63 22 0 01 Apr 2019
Fairwashing: the risk of rationalization Ulrich Aïvodji Hiromi Arai O. Fortineau Sébastien Gambs Satoshi Hara Alain Tapp FaML 64 147 0 28 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 211 1,450 0 14 Jan 2019
A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts T. Baum Steffen Herbold K. Schneider 18 4 0 23 Dec 2018
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play Shi Feng Jordan L. Boyd-Graber HAI 82 130 0 23 Oct 2018