Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making

3 January 2021

Papers citing "Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making"

4 / 4 papers shown

Title
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Yanming Zhang Brette Fitzgibbon Dino Garofolo Akshith Kota Eric Papenhausen Klaus Mueller CML 33 5 0 23 Dec 2023
DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena Jun Wang Klaus Mueller CML 35 10 0 12 Mar 2023
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 57 93 0 05 Mar 2020