Abstract is missing.
- xxAI - Beyond Explainable Artificial IntelligenceAndreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek. 3-10 [doi]
- Explainable AI Methods - A Brief OverviewAndreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek. 13-38 [doi]
- General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsChristoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl. 39-68 [doi]
- CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsLeonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata. 69-88 [doi]
- A Rate-Distortion Framework for Explaining Black-Box Model DecisionsStefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok. 91-115 [doi]
- Explaining the Predictions of Unsupervised Learning ModelsGrégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller. 117-138 [doi]
- Towards Causal Algorithmic RecourseAmir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera. 139-166 [doi]
- Interpreting Generative Adversarial Networks for Interactive Image GenerationBolei Zhou. 167-175 [doi]
- XAI and Strategy Extraction via Reward RedistributionMarius-Constantin Dinu, Markus Hofmarcher, Vihang P. Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter. 177-205 [doi]
- Interpretable, Verifiable, and Robust Reinforcement Learning via Program SynthesisOsbert Bastani, Jeevana Priya Inala, Armando Solar-Lezama. 207-228 [doi]
- Interpreting and Improving Deep-Learning Models with Reality ChecksChandan Singh, Wooseok Ha, Bin Yu 0001. 229-254 [doi]
- Beyond the Visual Analysis of Deep Model SaliencySarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang 0001, Vittorio Murino, Stan Sclaroff, Kate Saenko. 255-269 [doi]
- x: Explainability-Driven Quantization for Low-Bit and Sparse DNNsDaniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller 0001, Sebastian Lapuschkin. 271-296 [doi]
- A Whale's Tail - Finding the Right Whale in an Uncertain WorldDiego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher. 297-313 [doi]
- Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New ScienceAntonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes. 315-339 [doi]
- Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and BeyondPhilipp Hacker, Jan-Hendrik Passoth. 343-373 [doi]
- Towards Explainability for AI FairnessJianlong Zhou, Fang Chen, Andreas Holzinger. 375-386 [doi]
- Logic and Pragmatics in AI ExplanationChun-Hua Tsai, John M. Carroll. 387-396 [doi]