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12/09/2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
We investigate whether three types of post hoc model explanations–featur...
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11/10/2020
Debugging Tests for Model Explanations
We investigate whether post-hoc model explanations are effective for dia...
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08/06/2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Saliency maps have become a widely used method to make deep learning mod...
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01/19/2019
Explaining Explanations to Society
There is a disconnect between explanatory artificial intelligence (XAI) ...
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10/08/2018
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
Explaining the output of a complicated machine learning model like a dee...
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10/08/2018
Sanity Checks for Saliency Maps
Saliency methods have emerged as a popular tool to highlight features in...
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08/28/2018
Investigating Human + Machine Complementarity for Recidivism Predictions
When might human input help (or not) when assessing risk in fairness-rel...
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11/02/2017
The (Un)reliability of saliency methods
Saliency methods aim to explain the predictions of deep neural networks....
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11/15/2016
