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OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning

Jiaqi Ma
Vivian Lai
Yiming Zhang
Chacha Chen
Paul Hamilton
Davor Ljubenkov
Himabindu Lakkaraju
Chenhao Tan
    ELM
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Papers citing "OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning"

3 / 3 papers shown
Title
Data Science Principles for Interpretable and Explainable AI
Data Science Principles for Interpretable and Explainable AI
Kris Sankaran
FaML
111
1
0
17 May 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.2K
22,295
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,197
0
16 Feb 2016