Xxai - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers (Paperback, 2022)

Editorial.- xxAI - Beyond explainable Artificial Intelligence.- Current Methods and Challenges.- Explainable AI Methods - A Brief Overview.- Challenges in Deploying Explainable Machine Learning.- Methods for Machine Learning Models.- CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations.- New Developments in Explainable AI.- A Rate-Distortion Framework for Explaining Black-box Model Decisions.- Explaining the Predictions of Unsupervised Learning Models.- Towards Causal Algorithmic Recourse.- Interpreting Generative Adversarial Networks for Interactive Image Generation.- XAI and Strategy Extraction via Reward Redistribution.- Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis.- Interpreting and improving deep-learning models with reality checks.- Beyond the Visual Analysis of Deep Model Saliency.- ECQ^2: Quantization for Low-Bit and Sparse DNNs.- A whale’s tail - Finding the right whale in an uncertain world.- Explainable Artificial Intelligence in Meteorology and Climate Science: Model fine-tuning, calibrating trust and learning new science.- An Interdisciplinary Approach to Explainable AI.-Varieties of AI Explanations under the Law - From the GDPR to the AIA, and beyond.- Towards Explainability for AI Fairness.- Logic and Pragmatics in AI Explanation.