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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

20 February 2024

Jiaqi Ma

Davor Ljubenkov

Himabindu Lakkaraju

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

Confident Teacher, Confident Student? A Novel User Study Design for
Investigating the Didactic Potential of Explanations and their Impact on
Uncertainty

Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty

Teodor Chiaburu

Felix Bießmann

179

0

0

10 Sep 2024

Data Science Principles for Interpretable and Explainable AI

Data Science Principles for Interpretable and Explainable AIJournal of Data Science (JDS), 2024

347

5

0

17 May 2024

A Unified Approach to Interpreting Model Predictions

A Unified Approach to Interpreting Model Predictions

Scott M. Lundberg

3.8K

29,550

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

Carlos Guestrin

2.5K

19,805

0

16 Feb 2016