How do Humans Understand Explanations from Machine Learning Systems? An
Evaluation of the Human-Interpretability of Explanation

How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation

2 February 2018

Menaka Narayanan

Finale Doshi-Velez

Papers citing "How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation"

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Title
Do Explanations make VQA Models more Predictable to a Human? Arjun Chandrasekaran Viraj Prabhu Deshraj Yadav Prithvijit Chattopadhyay Devi Parikh FAtt 84 97 0 29 Oct 2018
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play Shi Feng Jordan L. Boyd-Graber HAI 9 127 0 23 Oct 2018
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 32 120 0 29 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models Tomáš Kliegr Š. Bahník Johannes Furnkranz 9 100 0 09 Apr 2018