Technical methods for XAI
| Action Influence Graphs |
| Agent-based explainable systems |
| Ante-hoc approaches for interpretability |
| Argumentative-based approaches for explanations |
| Argumentation theory for explainable AI |
| Attention mechanisms for XAI |
| Automata for explaining Recurrent Neural Network models |
| Auto-encoders & explainability of latent spaces |
| Bayesian modelling for interpretable models |
| Black-boxes vs white-boxes |
| Case-based explanations for AI systems |
| Causal inference & explanations |
| Constraints-based explanations |
| Decomposition of neural network-based models for XAI |
| Deep learning & XAI methods |
| Defeasible reasoning for explainability |
| Evaluation approaches for XAI-based systems |
| Explainable methods for edge computing |
| Expert systems for explainability |
| Explainability & the semantic web |
| Explainability of signal processing methods |
| Finite state machines for enabling explainability |
| Fuzzy systems & logic for explainability |
| Graph neural networks for explainability |
| Hybrid & transparent black box modelling |
| Interpreting & explaining Convolutional Neural Network |
| Interpretable representational learning |
| Methods for latent spaces interpretations |
| Model-specific vs model-agnostic methods for XAI |
| Neuro-symbolic reasoning for XAI |
| Natural language processing for explanations |
| Ontologies & taxonomies for supporting XAI |
| Pruning methods with XAI |
| Post-hoc methods for explainability |
| Reinforcement learning for enhancing XAI systems |
| Reasoning under uncertainty for explanation |
| Rule-based XAI systems |
| Robotics & explainability |
| Sample-centric & Dataset-centric explanations |
| Self-explainable methods for XAI |
| Sentence embeddings to explainable semantic features |
| Transparent & explainable learning methods |
| User interfaces for explainability |
| Visual methods for representational learning |
| XAI Benchmarking |
| XAI methods for neuroimaging & neural signals |
| XAI & reservoir computing |
Ethical considerations for XAI
| Accountability & responsibility in XAI-based technologies |
| Addressing user-centric requirements for XAI systems |
| Assessment of model accuracy & interpretability trade-off |
| Explainable Bias & fairness of XAI-based systems |
| Explainability for discovering, improving, controlling & justifying |
| Explainability as a prerequisite for responsible AI systems |
| Explainability & data fusion |
| Explainability & responsibility in policy guidelines |
| Explainability pitfalls & dark patterns in XAI |
| Historical foundations of XAI |
| Moral principles & dilemma for XAI-based systems |
| Multimodal XAI approaches |
| Philosophical consideration of synthetic explanations |
| Prevention & detection of deceptive AI explanations |
| Social implications of automatically-generated explanations |
| Theoretical foundations of XAI |
| Trust & explainable AI |
| The logic of scientific explanation for/in AI |
| The epistemic & moral goods expected from explaining AI |
| XAI for fairness checking |
| XAI for time series-based approaches |
| XAI for transparency & unbiased decision making |
Psychological notions and concepts for XAI
| Algorithmic transparency & actionability |
| Cognitive approaches & architectures for explanations |
| Cognitive relief in explanations |
| Contrastive nature of explanations |
| Comprehensibility vs interpretability vs explainability |
| Counterfactual explanations |
| Designing new explanation styles |
| Explanations for correctability |
| Faithfulness & intelligibility of explanations |
| Interpretability vs traceability |
| Interestingness & informativeness of explanations |
| Irrelevance of probabilities to explanations |
| Iterative dialogue explanations |
| Justification & explanations in AI-based systems |
| Local vs global interpretability & explainability |
| Methods for assessing the quality of explanations |
| Non-technical explanations in AI-based systems |
| Notions and metrics of/for explainability |
| Persuasiveness & robustness of explanations |
| Psychometrics of human explanations |
| Qualitative approaches for explainability |
| Questionnaires & surveys for explainability |
| Scrutability & diagnosis of XAI methods |
| Soundness & stability of XAI methods |
| Theories of explanation |
Social examinations of XAI
| Adaptive explainable systems |
| Backward & forward-looking responsibility forms to XAI |
| Data provenance & explainability |
| Explainability for reputation |
| Epistemic and non-epistemic values for XAI |
| Human-centric explainable AI |
| Person-specific XAI systems |
| Presentation & personalization of AI explanations for target groups |
| Social nature of explanations |
Legal and administrative considerations of/for XAI
| Black-box model auditing & explanation |
| Explainability in regulatory compliance |
| Human rights for explanations in AI systems |
| Policy-based systems of explanations |
| The potential harm of explainability in AI |
| Trustworthiness of explanations for clinicians & patients |
| XAI methods for model governance |
| XAI in policy development |
| XAI to increase situational awareness & compliance behaviour |
Safety & security approaches for XAI
| Adversarial attacks explanations |
| Explanations for risk assessment |
| Explainability of federated learning |
| Explainable IoT malware detection |
| Privacy & agency of explanations |
| XAI for Privacy-Preserving Systems |
| XAI techniques of stealing attack & defence |
| XAI for human-AI cooperation |
| XAI & models output confidence estimation |
Applications of XAI-based systems
| Application of XAI in cognitive computing |
| Dialogue systems for enhancing explainability |
| Explainable methods for medical diagnosis |
| Business & Marketing applications of XAI |
| Biomedical knowledge discovery & explainability |
| Explainable methods for Human-computer Interaction |
| Explainability in decision-support systems |
| Explainable recommender systems |
| Explainable methods for finance & automatic trading systems |
| Explainability in agricultural AI-based methods |
| Explainability in transportation systems |
| Explainability for unmanned aerial vehicles (UAV) |
| Explainability in brain-computer interface systems |
| Interactive applications for XAI |
| Manufacturing chains & application of XAI systems |
| Models of explanations in criminology, cybersecurity & defence |
| XAI approaches in Industry 4.0 |
| XAI systems for health-care |
| XAI technologies for autonomous driving |
| XAI methods for bioinformatics |
| XAI methods for linguistics & machine translation |
| XAI methods for neuroscience |
| XAI models & applications for IoT |
| XAI methods for XAI for terrestrial, atmospheric, & ocean remote sensing |
| XAI in sustainable finance & climate finance |
| XAI in bio-signals analysis |
