Counterfactuals and Causability in Explainable Artificial Intelligence:
Theory, Algorithms, and Applications

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Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

7 March 2021

Catarina Moreira

Joaquim A. Jorge

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Papers citing "Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications"

17 / 67 papers shown

Title
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 115 2,360 0 01 Nov 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives Derek Doran Sarah Schulz Tarek R. Besold XAI 68 439 0 02 Oct 2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference Tianyu Wang Cynthia Rudin M. Usaid Awan Yameng Liu Sudeepa Roy Cynthia Rudin A. Volfovsky 31 51 0 19 Jul 2017
Interpretability via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 55 129 0 29 Jun 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 247 4,265 0 22 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 115 583 0 08 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,879 0 10 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 402 3,798 0 28 Feb 2017
TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning Jayaraman J. Thiagarajan B. Kailkhura P. Sattigeri Karthikeyan N. Ramamurthy 68 38 0 22 Nov 2016
Generalized Inverse Classification Michael T. Lash Qihang Lin W. Street Jennifer G. Robinson Jeffrey W. Ohlmann 53 61 0 05 Oct 2016
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 213 2,670 0 25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 110 3,148 0 21 Jul 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 67 1,902 0 28 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,706 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013