{"id":16,"date":"2022-12-16T21:00:29","date_gmt":"2022-12-16T21:00:29","guid":{"rendered":"http:\/\/xaiconference.lucalongo.eu\/?page_id=16"},"modified":"2024-10-21T17:06:14","modified_gmt":"2024-10-21T17:06:14","slug":"topics","status":"publish","type":"page","link":"https:\/\/xaiworldconference.com\/2026\/topics\/","title":{"rendered":"Topics"},"content":{"rendered":"\n

Technical methods for XAI<\/strong><\/p>\n\n\n\n

Action Influence Graphs<\/td><\/tr>
Agent-based explainable systems<\/td><\/tr>
Ante-hoc approaches for interpretability<\/td><\/tr>
Argumentative-based approaches for explanations <\/td><\/tr>
Argumentation theory for explainable AI<\/td><\/tr>
Attention mechanisms for XAI<\/td><\/tr>
Automata for explaining Recurrent Neural Network models<\/td><\/tr>
Auto-encoders & explainability of latent spaces<\/td><\/tr>
Bayesian modelling for interpretable models<\/td><\/tr>
Black-boxes vs white-boxes<\/td><\/tr>
Case-based explanations for AI systems<\/td><\/tr>
Causal inference & explanations<\/td><\/tr>
Constraints-based explanations<\/td><\/tr>
Decomposition of neural network-based models for XAI<\/td><\/tr>
Deep learning & XAI methods<\/td><\/tr>
Defeasible reasoning for explainability<\/td><\/tr>
Evaluation approaches for XAI-based systems<\/td><\/tr>
Explainable methods for edge computing<\/td><\/tr>
Expert systems for explainability<\/td><\/tr>
Explainability & the semantic web<\/td><\/tr>
Explainability of signal processing methods<\/td><\/tr>
Finite state machines for enabling explainability<\/td><\/tr>
Fuzzy systems & logic for explainability<\/td><\/tr>
Graph neural networks for explainability<\/td><\/tr>
Hybrid & transparent black box modelling<\/td><\/tr>
Interpreting & explaining Convolutional Neural Network<\/td><\/tr>
Interpretable representational learning<\/td><\/tr>
Methods for latent spaces interpretations<\/td><\/tr>
Model-specific vs model-agnostic methods for XAI<\/td><\/tr>
Neuro-symbolic reasoning for XAI<\/td><\/tr>
Natural language processing for explanations<\/td><\/tr>
Ontologies & taxonomies for supporting XAI<\/td><\/tr>
Pruning methods with XAI<\/td><\/tr>
Post-hoc methods for explainability<\/td><\/tr>
Reinforcement learning for enhancing XAI systems<\/td><\/tr>
Reasoning under uncertainty for explanation<\/td><\/tr>
Rule-based XAI systems<\/td><\/tr>
Robotics & explainability<\/td><\/tr>
Sample-centric & Dataset-centric explanations<\/td><\/tr>
Self-explainable methods for XAI<\/td><\/tr>
Sentence embeddings to explainable semantic features<\/td><\/tr>
Transparent & explainable learning methods<\/td><\/tr>
User interfaces for explainability<\/td><\/tr>
Visual methods for representational learning<\/td><\/tr>
XAI Benchmarking<\/td><\/tr>
XAI methods for neuroimaging & neural signals<\/td><\/tr>
XAI & reservoir computing<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Ethical considerations for XAI<\/strong><\/p>\n\n\n\n

Accountability & responsibility in XAI-based technologies<\/td><\/tr>
Addressing user-centric requirements for XAI systems<\/td><\/tr>
Assessment of model accuracy & interpretability trade-off<\/td><\/tr>
Explainable Bias & fairness of XAI-based systems<\/td><\/tr>
Explainability for discovering, improving, controlling & justifying<\/td><\/tr>
Explainability as a prerequisite for responsible AI systems<\/td><\/tr>
Explainability & data fusion<\/td><\/tr>
Explainability & responsibility in policy guidelines<\/td><\/tr>
Explainability pitfalls & dark patterns in XAI<\/td><\/tr>
Historical foundations of XAI<\/td><\/tr>
Moral principles & dilemma for XAI-based systems<\/td><\/tr>
Multimodal XAI approaches<\/td><\/tr>
Philosophical consideration of synthetic explanations<\/td><\/tr>
Prevention & detection of deceptive AI explanations<\/td><\/tr>
Social implications of automatically-generated explanations<\/td><\/tr>
Theoretical foundations of XAI<\/td><\/tr>
Trust & explainable AI<\/td><\/tr>
The logic of scientific explanation for\/in AI<\/td><\/tr>
The epistemic & moral goods expected from explaining AI<\/td><\/tr>
XAI for fairness checking<\/td><\/tr>
XAI for time series-based approaches<\/td><\/tr>
XAI for transparency & unbiased decision making<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Psychological notions and concepts for XAI<\/strong><\/p>\n\n\n\n

Algorithmic transparency & actionability<\/td><\/tr>
Cognitive approaches & architectures for explanations<\/td><\/tr>
Cognitive relief in explanations<\/td><\/tr>
Contrastive nature of explanations<\/td><\/tr>
Comprehensibility vs interpretability vs explainability<\/td><\/tr>
Counterfactual explanations<\/td><\/tr>
Designing new explanation styles<\/td><\/tr>
Explanations for correctability<\/td><\/tr>
Faithfulness & intelligibility of explanations<\/td><\/tr>
Interpretability vs traceability<\/td><\/tr>
Interestingness & informativeness of explanations<\/td><\/tr>
Irrelevance of probabilities to explanations<\/td><\/tr>
Iterative dialogue explanations<\/td><\/tr>
Justification & explanations in AI-based systems<\/td><\/tr>
Local vs global interpretability & explainability<\/td><\/tr>
Methods for assessing the quality of explanations<\/td><\/tr>
Non-technical explanations in AI-based systems<\/td><\/tr>
Notions and metrics of\/for explainability<\/td><\/tr>
Persuasiveness & robustness of explanations<\/td><\/tr>
Psychometrics of human explanations<\/td><\/tr>
Qualitative approaches for explainability<\/td><\/tr>
Questionnaires & surveys for explainability<\/td><\/tr>
Scrutability & diagnosis of XAI methods<\/td><\/tr>
Soundness & stability of XAI methods<\/td><\/tr>
Theories of explanation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Social examinations of XAI<\/strong><\/p>\n\n\n\n

Adaptive explainable systems<\/td><\/tr>
Backward & forward-looking responsibility forms to XAI<\/td><\/tr>
Data provenance & explainability<\/td><\/tr>
Explainability for reputation<\/td><\/tr>
Epistemic and non-epistemic values for XAI<\/td><\/tr>
Human-centric explainable AI<\/td><\/tr>
Person-specific XAI systems<\/td><\/tr>
Presentation & personalization of AI explanations for target groups<\/td><\/tr>
Social nature of explanations<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Legal and administrative considerations of\/for XAI<\/strong><\/p>\n\n\n\n

Black-box model auditing & explanation<\/td><\/tr>
Explainability in regulatory compliance<\/td><\/tr>
Human rights for explanations in AI systems<\/td><\/tr>
Policy-based systems of explanations<\/td><\/tr>
The potential harm of explainability in AI<\/td><\/tr>
Trustworthiness of explanations for clinicians & patients<\/td><\/tr>
XAI methods for model governance<\/td><\/tr>
XAI in policy development<\/td><\/tr>
XAI to increase situational awareness & compliance behaviour<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Safety & security approaches for XAI<\/strong><\/p>\n\n\n\n

Adversarial attacks explanations<\/td><\/tr>
Explanations for risk assessment<\/td><\/tr>
Explainability of federated learning<\/td><\/tr>
Explainable IoT malware detection<\/td><\/tr>
Privacy & agency of explanations<\/td><\/tr>
XAI for Privacy-Preserving Systems<\/td><\/tr>
XAI techniques of stealing attack & defence<\/td><\/tr>
XAI for human-AI cooperation<\/td><\/tr>
XAI & models output confidence estimation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Applications of XAI-based systems<\/strong><\/p>\n\n\n\n

Application of XAI in cognitive computing<\/td><\/tr>
Dialogue systems for enhancing explainability<\/td><\/tr>
Explainable methods for medical diagnosis<\/td><\/tr>
Business & Marketing applications of XAI<\/td><\/tr>
Biomedical knowledge discovery & explainability<\/td><\/tr>
Explainable methods for Human-computer Interaction<\/td><\/tr>
Explainability in decision-support systems<\/td><\/tr>
Explainable recommender systems<\/td><\/tr>
Explainable methods for finance & automatic trading systems<\/td><\/tr>
Explainability in agricultural AI-based methods<\/td><\/tr>
Explainability in transportation systems<\/td><\/tr>
Explainability for unmanned aerial vehicles (UAV)<\/td><\/tr>
Explainability in brain-computer interface systems<\/td><\/tr>
Interactive applications for XAI<\/td><\/tr>
Manufacturing chains & application of XAI systems<\/td><\/tr>
Models of explanations in criminology, cybersecurity & defence<\/td><\/tr>
XAI approaches in Industry 4.0<\/td><\/tr>
XAI systems for health-care<\/td><\/tr>
XAI technologies for autonomous driving<\/td><\/tr>
XAI methods for bioinformatics<\/td><\/tr>
XAI methods for linguistics & machine translation<\/td><\/tr>
XAI methods for neuroscience<\/td><\/tr>
XAI models & applications for IoT<\/td><\/tr>
XAI methods for XAI for terrestrial, atmospheric, & ocean remote sensing<\/td><\/tr>
XAI in sustainable finance & climate finance<\/td><\/tr>
XAI in bio-signals analysis<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

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 … <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":149,"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":5198,"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/pages\/16\/revisions\/5198"}],"wp:attachment":[{"href":"https:\/\/xaiworldconference.com\/2026\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}