The 4th World Conference on Explainable Artificial Intelligence.

[Sylvio Barbon]

Dear colleagues

 

this is to invite you to submit research articles to the 4th World Conference on Explainable Artificial Intelligence.

 

CALL FOR PAPERS: https://xaiworldconference.com/2026/call-for-papers/

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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.

 

Important dates 
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

 

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 approachesPsychological 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 methodsSocial 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 explanationsLegal & 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 behaviorSafety & 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 estimationApplications 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

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, 2025Articles (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*full, short and special track articles 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*Proceedings shall be submitted to CEUR-WS.org for online publication 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*Proceedings shall be submitted to CEUR-WS.org for online publication

 

 

 

 

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.