4th World Conference on eXplainable Artificial Intelligence
Call for papers

Artificial intelligence has undergone a significant shift in focus, with a growing emphasis on designing and developing intelligent systems that are both interpretable and explainable. This is due to the complexity of the models, built from data, and the legal requirements imposed by various national and international parliaments. This has been echoed both in the research literature and the press, attracting scholars worldwide and a lay audience. An emerging field in AI is Explainable Artificial Intelligence (xAI), which is devoted to producing intelligent systems that enable humans to understand their inferences, assessments, predictions, recommendations, and decisions. Initially devoted to designing post-hoc methods for explainability, eXplainable Artificial Intelligence (xAI) is rapidly expanding its boundaries to neuro-symbolic methods for producing self-interpretable models. Research has also shifted the focus to the structure of explanations and human-centred Artificial Intelligence, as the ultimate users of interactive technologies are humans.
The World Conference on Explainable Artificial Intelligence is an annual event that aims to bring together researchers, academics, and professionals, promoting the sharing and discussion of knowledge, new perspectives, experiences, and innovations in the field of Explainable Artificial Intelligence (xAI). This event is multidisciplinary and interdisciplinary, bringing together academics and scholars of different disciplines, including Computer Science, Psychology, Philosophy, Law and Social Science, to mention a few, and industry practitioners interested in the practical, social and ethical aspects of the explanation of the models emerging from the discipline of Artificial Intelligence (AI).
The conference organisation encourages submissions related to explainable AI and contributions from academia, industry, and other organisations discussing open challenges or novel research approaches related to the explainability and interpretability of AI systems. Topics include, and are not limited to:
Technical methods for XAI
| Action Influence Graphs | Agent-based explainable systems | Ante-hoc approaches for interpretability |
| Argumentative-based approaches for xAI | Argumentation theory for xAI | Attention mechanisms for xAI |
| Automata for explaining RNN models | Auto-encoders & latent spaces explainability | Bayesian modelling for interpretability |
| Black-boxes vs white-boxes | Case-based explanations for AI systems | Causal inference & explanations |
| Constraints-based explanations | Decomposition of NNET-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 | Sample-centric and dataset-centric explanations | Explainability of signal processing methods |
| Finite state machines for explainability | Fuzzy systems & logic for explainability | Graph neural networks for explainability |
| Hybrid & transparent black box modelling | Interpreting & explaining CNN Networks | Interpretable representational learning |
| Explainability & the Semantic Web | Model-specific vs model-agnostic methods | 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 | Reasoning under uncertainty for explanations |
| Rule-based XAI systems | Robotics & explainability | Sample-centric & Dataset-centric explanations |
| Self-explainable methods for XAI | Sentence embeddings to xAI 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 | Addressing user-centric requirements for XAI | Trade-off model accuracy & interpretability |
| Explainable Bias & fairness of XAI systems | Explainability for discovering, improving, controlling & justifying | Moral Principles & dilemma for XAI |
| Explainability & data fusion | Explainability/responsibility in policy guidelines | Explainability pitfalls & dark patterns in XAI |
| Historical foundations of XAI | Moral principles & dilemma for XAI | Multimodal XAI approaches |
| Philosophical consideration of synthetic explanations | Prevention/detection of deceptive AI explanations | Social implications of synthetic explanations |
| Theoretical foundations of XAI | Trust & explainable AI | The logic of scientific explanation for/in AI |
| Expected epistemic & moral goods for XAI | XAI for fairness checking | XAI for time series-based approaches |
Psychological Notions & concepts for XAI
| Algorithmic transparency & actionability | Cognitive approaches for explanations | Cognitive relief in explanations |
| Contrastive nature of explanations | Comprehensibility vs interpretability | Counterfactual explanations |
| Designing new explanation styles | Explanations for correctability | Faithfulness & intelligibility of explanations |
| Interpretability vs traceability | explanations Interestingness & informativeness | Irrelevance of probabilities to explanations |
| Iterative dialogue explanations | Local vs. global interpretability & explainability | Local vs global interpretability & explainability |
| Methods for assessing explanations quality | Non-technical explanations in AI 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 |
Social examinations of XAI
| Adaptive explainable systems | Backwards & 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 & 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 XAI for clinicians/patients |
| XAI methods for model governance | XAI in policy development | XAI for situational awareness/compliance behavior |
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 | XAI systems for healthcare |
| Explainable methods for HCI | 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 | Explainability in brain-computer interfaces | Interactive applications for XAI |
| Manufacturing chains & application of XAI | 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 |
Submission
Submitted manuscripts must be novel and not substantially duplicate existing work. Manuscripts must be written using Springer’s Lecture Notes in Computer Science (LNCS) in the format provided here. Latex and word files are admitted; however, the former is preferred. All submissions and reviews will be handled electronically. The conference has a no dual submission policy, so submitted manuscripts must not be currently under review at another publication venue.
| Articles must be submitted using the easy-chair platform here. | ![]() |
While registering on the platform, the contact author must provide the following information: paper title, all author names, affiliations, postal address, e-mail address, and at least three keywords.
The conference will not require a strict page number, as we believe authors have different writing styles and would like to produce scientific material differently. However, the following types of articles are admitted:
| full articles | between 14 and 24 pages (including references) |
| short articles | between 10 and 14 pages (including references) |
![]() | Full articles should report on original and substantial contributions of lasting value, and the work should concern the theory and/or practice of Explainable Artificial Intelligence (xAI). Moreover, manuscripts showcasing the innovative use of xAI methods, techniques, and approaches and exploring the benefits and challenges of applying xAI-based technology in real-life applications and contexts are welcome. Evaluations of proposed solutions and applications should be commensurate with the claims made in the article. Full articles should reflect more complex innovations or studies and have a more thorough discussion of related work. Research procedures and technical methods should be presented sufficiently to ensure scrutiny and reproducibility. We recognise that user data may be proprietary or confidential; therefore, we encourage sharing (anonymized, cleaned) data sets, data collection procedures, and code. Results and findings should be communicated clearly, and implications of the contributions for xAI as a field and beyond should be explicitly discussed. |
![]() | Shorter articles should generally report on advances that can be described, set into context, and evaluated concisely. These articles are not ‘work-in-progress’ reports but complete studies focused on smaller but complete research work, simple to describe. For these articles, the discussion of related work and contextualisation in the wider body of knowledge can be smaller than that of full articles. |
Appendixes and supplemental material
Appendices and supplemental material must be placed within the article and the maximum number of pages mentioned above.
Special session articles
The article submitted to the special sessions follows the submission procedure of the main track and must be submitted via EasyChair, as mentioned above. The types of articles admitted are full and shorter, as described above. The authors of an article to be associated with a special session must select the name of such special session in the list of topics in EasyChair, along with other relevant topics.
Authors commit to reviewing
By submitting to the conference, each senior manuscript author (holding at least a PhD) volunteers to be added to the pool of potential PC members/reviewers for the conference and may be asked to review manuscripts. This does not apply to authors who have already agreed to contribute to the conference in some capacity (e.g., as PC/SPC members of the main conference or special tracks, area chairs, or members of the organising committee) and authors who are not qualified to be on the programme committee.
Ethical & Human Subjects Considerations
The conference organisers expect authors to discuss the ethical considerations and the impact of the presented work and/or its intended application, where appropriate. Additionally, all authors must comply with the ethical standards and regulatory guidelines associated with human subjects research, including the use of personally identifiable data and research involving human participants. Manuscripts reporting on human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided) or explaining the lack of required review.
Submission and publication of multiple articles
Each author is limited to a combined maximum of 4 submissions to the main conference track, and authors may not be added or deleted from papers following submission.
Use of Generative AI
Generative AI models such as LLMs, including ChatGPT, BARD, LLaMA, and similar, are against the criteria for authorship of scientific manuscripts submitted and published in the conference. If authors use any of these tools while writing their manuscript, they assume full responsibility for all content. This includes verifying its correctness and assessing plagiarism of any part of their work. Suppose the text generated by the above generative AI models is the subject of scientific inquiry as part of the manuscript’s methodology or analysis. In that case, it must be adequately described, documented and made explicit in the paper.
Important dates
*All dates are Anywhere on Earth time (AoE)
Special session proposals
| Proposal submission (contact): | November 15, 2025 |
| Notification of acceptance & final instructions | November 31, 2025 |
Articles (main track & special tracks)
| Authors/title registration on submission platform – (easy-chair)* (it remains open until the paper submission deadline below): | January, 15, 2026 |
| Article upload deadline on submission platform (easy-chair)*: | February 1, 2026 |
| Paper bidding for reviewers | February 2-4, 2026 |
| Review submission deadlines for reviewers | February 20, 2026 |
| Notification of acceptance*: | February 22, 2026 |
| Registration (payment) and camera-ready* (upload to easy-chair): | February 28, 2026 |
| Article presentation instructions notification | June, 2026 |
| Publication (Springer CCIS series) | September/October, 2026 |
Late-breaking work & demos
| Late-breaking work & demo author/title/abstract registration opens on submission platform (easy-chair): | March 01, 2026 |
| Late-breaking work & demo article upload deadline on submission platform (easy-chair): | March 07, 2026 |
| Notification of acceptance: | March 31, 2026 |
| Registration (payment) & Late-breaking work & demo camera-ready (upload to easy-chair): | April, 10, 2026 |
| Late-breaking work & demo presentation instructions notification | June, 2026 |
| Publication (planned with CEUR-WS.org*) | September/October, 2026 |
Doctoral consortium (DC) proposals
| DC Proposal author/title registration deadline opens on submission platform (easy-chair): | March 01, 2026 |
| DC Proposal uploads deadline on the submission platform (easy-chair): | March 07, 2026 |
| Notification of acceptance: | March 31, 2026 |
| Registration (payment) | April 10, 2026 |
| DC presentation and meeting instructions notification | June, 2026 |
| Publication (planned with CEUR-WS.org*) | September/October, 2026 |
Review process
The Peer-Review process
All articles submitted within the deadlines and per the guidelines will be subjected to a single-blind review. Authors can also opt-out to disclose their names. However, authors will not know the names of their reviewers. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims may be rejected without full review. Manuscripts that do not conform to the specified formatting style will be desk-rejected. A non-dual policy submission exists, and articles submitted parallel to another conference/journal will be desk-rejected. Furthermore, reviewers will be asked to comment on whether the length is appropriate for the contribution. Each submitted article will be reviewed by at least two appropriate committee members (main/special track programme committee, late-breaking work/demo/DC committee).
After completion of the review process, the authors will be informed about the acceptance or rejection of the submitted work. The reviewers’ comments will be available to the authors if they are not desk-rejected. In case of acceptance, authors must meet the recommendations for improvement and prepare and submit the definitive version of the work up to the camera-ready paper submission deadline. In case of failure to consider the recommendations made by the reviewers, the organizing committee, the chairs and the editors reserve the right not to include these works in any of the planned conference proceedings.
The article’s final version must follow the appropriate style guide and contain the authors’ data (names, institutions and emails) and the ORCID details. Submitted articles will be evaluated according to their originality, technical soundness, significance of findings, contribution to knowledge, clarity of exposition and organisation and replicability.
Code of Ethics
Inspired by the code of ethics put forward by the Association of Computing Machinery, the programme committee, supervised by the general conference chairs and organisers, has the right to desk-reject manuscripts that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes or implications that disadvantage minoritized communities. Further, reviewers of the scientific committee will be explicitly asked to consider whether the research was conducted in compliance with professional, ethical standards and applicable regulatory guidelines. Failure to do so could lead to a desk rejection.
Publication & indexing
Each accepted and presented full, short paper (for the main and special tracks), presented either as an oral presentation or as a poster, will be included in the conference proceedings by Springer in Communications in Computer and Information Science, edited by the general/PC chairs. At least one author of each accepted paper must pay the related fees and register for the conference by the deadline. The official publication date is when the publisher makes the proceedings available online. This date will be after the conference and can take some weeks.
If authors want to publish their article OPEN ACCESS (upon a fee with Springer), please refer to this page.
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Indexing
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