A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)-Reference-Cited by-同舟云学术

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)

Published:2023-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)
language:
Short-container-title:

Author:

Speith Timo¹,Langer Markus²

Affiliation:

1. University of Bayreuth,Department of Philosophy,Bayreuth,Germany

2. Philipps-University of Marburg,Department of Psychology and Digitalization,Marburg,Germany

Funder

Volkswagen Foundation

DFG

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260706/10260713/10260827.pdf?arnumber=10260827

Reference71 articles.

1. Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue

2. An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

3. Interpretability of machine learning models and representations: An introduction;bibal;Proceedings of the 24th European symposium on artificial neural networks (ESANN),0

4. Manipulating and Measuring Model Interpretability

5. From Responsibility to Reason-Giving Explainable Artificial Intelligence

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