Towards Explainability for AI Fairness (English)
Free access
- New search for: Zhou, Jianlong
- Further information on Zhou, Jianlong:
- https://orcid.org/https://orcid.org/0000-0001-6034-644X
- New search for: Chen, Fang
- New search for: Holzinger, Andreas
- Further information on Holzinger, Andreas:
- https://orcid.org/http://orcid.org/0000-0002-6786-5194
- New search for: Holzinger, Andreas
- Further information on Holzinger, Andreas:
- https://orcid.org/https://orcid.org/0000-0002-6786-5194
- New search for: Goebel, Randy
- New search for: Fong, Ruth
- New search for: Moon, Taesup
- New search for: Müller, Klaus-Robert
- Further information on Müller, Klaus-Robert:
- https://orcid.org/https://orcid.org/0000-0002-3861-7685
- New search for: Samek, Wojciech
- Further information on Samek, Wojciech:
- https://orcid.org/https://orcid.org/0000-0002-6283-3265
- New search for: Zhou, Jianlong
- Further information on Zhou, Jianlong:
- https://orcid.org/https://orcid.org/0000-0001-6034-644X
- New search for: Chen, Fang
- New search for: Holzinger, Andreas
- Further information on Holzinger, Andreas:
- https://orcid.org/http://orcid.org/0000-0002-6786-5194
In:
xxAI - Beyond Explainable AI
: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
;
Chapter: 18
;
375-386
;
2022
- Article/Chapter (Book) / Electronic Resource
-
Title:Towards Explainability for AI Fairness
-
Additional title:Lect.Notes Computer
-
Contributors:Holzinger, Andreas ( editor ) / Goebel, Randy ( editor ) / Fong, Ruth ( editor ) / Moon, Taesup ( editor ) / Müller, Klaus-Robert ( editor ) / Samek, Wojciech ( editor ) / Zhou, Jianlong ( author ) / Chen, Fang ( author ) / Holzinger, Andreas ( author )
-
Conference:International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers ; 2020 ; Vienna, Austria
-
Published in:xxAI - Beyond Explainable AI : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers ; Chapter: 18 ; 375-386Lecture Notes in Computer Science ; 13200 ; 375-386Lecture Notes in Artificial Intelligence ; 375-386
-
Publisher:
- New search for: Springer International Publishing
-
Place of publication:Cham
-
Publication date:2022-04-17
-
Size:12 pages
-
ISBN:
-
ISSN:
-
DOI:
-
Type of media:Article/Chapter (Book)
-
Type of material:Electronic Resource
-
Language:English
-
Keywords:
-
Licence:
-
Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
-
xxAI - Beyond Explainable Artificial IntelligenceHolzinger, Andreas / Goebel, Randy / Fong, Ruth / Moon, Taesup / Müller, Klaus-Robert / Samek, Wojciech et al. | 2022
- 2
-
Explainable AI Methods - A Brief OverviewHolzinger, Andreas / Saranti, Anna / Molnar, Christoph / Biecek, Przemyslaw / Samek, Wojciech et al. | 2022
- 4
-
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsMolnar, Christoph / König, Gunnar / Herbinger, Julia / Freiesleben, Timo / Dandl, Susanne / Scholbeck, Christian A. / Casalicchio, Giuseppe / Grosse-Wentrup, Moritz / Bischl, Bernd et al. | 2022
- 5
-
CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsSalewski, Leonard / Koepke, A. Sophia / Lensch, Hendrik P. A. / Akata, Zeynep et al. | 2022
- 6
-
A Rate-Distortion Framework for Explaining Black-Box Model DecisionsKolek, Stefan / Nguyen, Duc Anh / Levie, Ron / Bruna, Joan / Kutyniok, Gitta et al. | 2022
- 7
-
Explaining the Predictions of Unsupervised Learning ModelsMontavon, Grégoire / Kauffmann, Jacob / Samek, Wojciech / Müller, Klaus-Robert et al. | 2022
- 8
-
Towards Causal Algorithmic RecourseKarimi, Amir-Hossein / von Kügelgen, Julius / Schölkopf, Bernhard / Valera, Isabel et al. | 2022
- 9
-
Interpreting Generative Adversarial Networks for Interactive Image GenerationZhou, Bolei et al. | 2022
- 10
-
XAI and Strategy Extraction via Reward RedistributionDinu, Marius-Constantin / Hofmarcher, Markus / Patil, Vihang P. / Dorfer, Matthias / Blies, Patrick M. / Brandstetter, Johannes / Arjona-Medina, Jose A. / Hochreiter, Sepp et al. | 2022
- 11
-
Interpretable, Verifiable, and Robust Reinforcement Learning via Program SynthesisBastani, Osbert / Inala, Jeevana Priya / Solar-Lezama, Armando et al. | 2022
- 12
-
Interpreting and Improving Deep-Learning Models with Reality ChecksSingh, Chandan / Ha, Wooseok / Yu, Bin et al. | 2022
- 13
-
Beyond the Visual Analysis of Deep Model SaliencyBargal, Sarah Adel / Zunino, Andrea / Petsiuk, Vitali / Zhang, Jianming / Murino, Vittorio / Sclaroff, Stan / Saenko, Kate et al. | 2022
- 14
-
ECQ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{\text {x}}$$\end{document}: Explainability-Driven Quantization for Low-Bit and Sparse DNNsBecking, Daniel / Dreyer, Maximilian / Samek, Wojciech / Müller, Karsten / Lapuschkin, Sebastian et al. | 2022
- 15
-
A Whale’s Tail - Finding the Right Whale in an Uncertain WorldMarcos, Diego / Kierdorf, Jana / Cheeseman, Ted / Tuia, Devis / Roscher, Ribana et al. | 2022
- 16
-
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New ScienceMamalakis, Antonios / Ebert-Uphoff, Imme / Barnes, Elizabeth A. et al. | 2022
- 17
-
Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and BeyondHacker, Philipp / Passoth, Jan-Hendrik et al. | 2022
- 18
-
Towards Explainability for AI FairnessZhou, Jianlong / Chen, Fang / Holzinger, Andreas et al. | 2022
- 19
-
Logic and Pragmatics in AI ExplanationTsai, Chun-Hua / Carroll, John M. et al. | 2022