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

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

Md. Naimul Hoque
Klaus Mueller
    CML
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Papers citing "Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making"

2 / 2 papers shown
Title
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
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
23
5
0
23 Dec 2023
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
47
92
0
05 Mar 2020