Explaining Data-Driven Decisions made by AI Systems: The Counterfactual
Approach

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach

21 January 2020

Carlos Fernandez

Papers citing "Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach"

10 / 10 papers shown

Title
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models Arkadipta De Satya Swaroop Gudipudi Sourab Panchanan M. Desarkar FaML 13 0 0 30 Dec 2022
A General Search-based Framework for Generating Textual Counterfactual Explanations Daniel Gilo Shaul Markovitch LRM 34 0 0 01 Nov 2022
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 33 10 0 02 Dec 2021
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data Yanou Ramon S. Matz R. Farrokhnia David Martens 30 17 0 12 Nov 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data Raphael Mazzine David Martens 37 33 0 09 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 26 10 0 06 Jul 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 17 68 0 01 Jun 2021
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 38 62 0 11 Sep 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 27 19 0 26 Jun 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 57 93 0 05 Mar 2020