Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking-Reference-Cited by-同舟云学术

Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking

Published:2024-06-10 Issue: Volume:18 Page:91-100
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Container-title:3rd ACM International Workshop on Multimedia AI against Disinformation
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Author:

Schmitt Vera¹^ORCID,Csomor Balázs Patrik²^ORCID,Meyer Joachim³^ORCID,Villa-Areas Luis-Felipe⁴^ORCID,Jakob Charlott¹^ORCID,Polzehl Tim⁵^ORCID,Möller Sebastian¹^ORCID

Affiliation:

1. Technische Universität Berlin, German Research Center for Artificial Intelligence, Germany

2. Technische Universität Berlin, Germany

3. Tel Aviv University, Israel

4. Deutsche Telekom, Germany

5. German Research Center for Artifical Intelligence, Germany

Funder

BMBF

Publisher

ACM

Reference64 articles.

1. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2. Jennifer Allen, Baird Howland, Markus Mobius, David Rothschild, and Duncan J Watts. 2020. Evaluating the fake news problem at the scale of the information ecosystem. Science Advances 6, 14 (2020), eaay3539.

3. Wissam Antoun, Fady Baly, Rim Achour, Amir Hussein, and Hazem Hajj. 2020. State of the art models for fake news detection tasks. In 2020 IEEE international conference on informatics, IoT, and enabling technologies (ICIoT). IEEE, 519–524.

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