This task force takes care of the main theoretical concepts of the topic, as well as examples and real applications of XAI techniques. In addition, ethical and legal aspects concerning XAI are also considered.

• Monitoring, and taking part in when possible, the most recent governmental and social initiatives which favor the introduction of XAI solutions (remarking the relevance of Explainable Fuzzy Systems) in industry, professional activities and private lives.
• Organizing scientific and dissemination events to motivate the audience on the potential impact of XAI in everyday life and, therefore, on the importance of its scientific and technical investigation.
• Proposing synergies among all XAI related fields under the umbrella of Computational Intelligence and beyond. Paying special attention to look for collaboration with researchers on the fields of Computational Linguistics (i.e., natural language processing and generation of explanations), Argumentation Technology, Human-machine interaction, etc.
• We organize special sessions and workshops in top international conferences (e.g., IEEE WCCI and FUZZ-IEEE). In addition, we edit special issues in top journals and/or book series.

Research topics include (but are not limited to):

• Explainable Computational Intelligence
• Theoretical Aspects of Explainability, Fairness, Accountability and Transparency
• Relations between Explainability and other Criteria (such as Interpretability, Accuracy, Stability, Relevance, etc.)
• Dimensions of Interpretability: Readability versus Understandability
• Explainability Evaluation and Improvements
• Learning Methods and Design Issues for Explainable Systems and Models
• Interpretable Fuzzy Systems
• Interpretable Machine Learning
• Explaining Back-box Models
• Hybrid Approaches (e.g., neuro-fuzzy systems) for XAI
• Extensions of Fuzzy Logic for XAI
• Model-specific and Model-agnostic Approaches for XAI
• Models for Explainable Recommendations
• Explainable Conversational Agents
• Self-explanatory Decision-Support Systems
• Factual and Counterfactual Explanations
• Causal Thinking, Reasoning and Modeling
• Cognitive Science and XAI
• Argumentation Theory for XAI
• Natural Language Technology for XAI
• Human-Machine Interaction for XAI
• Ethics and Legal Issues for XAI
• XAI-based Data Analysis and Bias Mitigation
• Applications of XAI Systems
• Open Source Software for XAI