{"id":593,"date":"2022-12-23T11:48:20","date_gmt":"2022-12-23T11:48:20","guid":{"rendered":"http:\/\/xaiworldconference.org\/?page_id=593"},"modified":"2024-04-04T10:33:48","modified_gmt":"2024-04-04T10:33:48","slug":"call-for-papers","status":"publish","type":"page","link":"https:\/\/xaiworldconference.com\/2024\/call-for-papers\/","title":{"rendered":"Call for papers"},"content":{"rendered":"\n

2nd World Conference on eXplainable Artificial Intelligence <\/strong><\/h3>\n\n\n\n

Call for papers<\/strong><\/p>\n\n\n\n

Artificial intelligence has seen a significant shift in focus towards designing and developing intelligent systems that are 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 echoed both in the research literature and the press, attracting scholars worldwide and a lay audience. An emerging field with AI is eXplainable Artificial Intelligence (xAI), devoted to producing intelligent systems that allow humans to understand their inferences, assessments, predictions, recommendations and decisions. Initially devoted to designing post-hoc methods for explainability, eXplainable Artificial Intelligence (xAI)<\/strong> is rapidly expanding its boundaries to neuro-symbolic methods for producing self-interpretable models. Research has also shifted the focus on the structure of explanations and human-centred Artificial Intelligence since the ultimate users of interactive technologies are humans. <\/p>\n\n\n\n

The World Conference on Explainable Artificial Intelligence<\/strong> 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).<\/p>\n\n\n\n

The conference organisation encourages submissions related to eXplainable AI and contributions from academia, industry, and other organizations discussing open challenges or novel research approaches related to the explainability and interpretability of AI systems. Topics include, and are not limited to:<\/p>\n\n\n\n

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

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

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

Accountability & responsibility in XAI<\/td>Addressing user-centric requirements for XAI<\/td>Trade-off model accuracy & interpretability<\/td><\/tr>
Explainable Bias & fairness of XAI systems<\/td>Explainability for discovering, improving, controlling & justifying<\/td>Moral Principles & dilemma for XAI<\/td><\/tr>
Explainability & data fusion<\/td>Explainability\/responsibility in policy guidelines<\/td>Explainability pitfalls & dark patterns in XAI<\/td><\/tr>
Historical foundations of XAI<\/td>Moral principles & dilemma for XAI<\/td>Multimodal XAI approaches<\/td><\/tr>
Philosophical consideration of synthetic explanations<\/td>Prevention\/detection of deceptive AI explanations<\/td>Social implications of synthetic explanations<\/td><\/tr>
Theoretical foundations of XAI<\/td>Trust & explainable AI<\/td>The logic of scientific explanation for\/in AI<\/td><\/tr>
Expected epistemic & moral goods for XAI <\/td>XAI for fairness checking<\/td>XAI for time series-based approaches<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Psychological Notions & concepts for XAI<\/strong><\/p>\n\n\n\n

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

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

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

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

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

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

Adversarial attacks explanations<\/td>Explanations for risk assessment<\/td>Explainability of federated learning<\/td><\/tr>
Explainable IoT malware detection<\/td>Privacy & agency of explanations<\/td>XAI for Privacy-Preserving Systems<\/td><\/tr>
XAI techniques of stealing attack & defence<\/td>XAI for human-AI cooperation<\/td>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>Dialogue systems for enhancing explainability<\/td><\/td><\/tr>
Explainable methods for medical diagnosis<\/td>Business & Marketing<\/td>XAI systems for healthcare<\/td><\/tr>
Explainable methods for HCI<\/td>Explainability in decision-support systems<\/td>Explainable recommender systems<\/td><\/tr>
Explainable methods for finance & automatic trading systems<\/td>Explainability in agricultural AI-based methods<\/td>Explainability in transportation systems<\/td><\/tr>
Explainability for unmanned aerial vehicles <\/td>Explainability in brain-computer interfaces<\/td>Interactive applications for XAI<\/td><\/tr>
Manufacturing chains & application of XAI<\/td>Models of explanations in criminology, cybersecurity & defence<\/td>XAI approaches in Industry 4.0<\/td><\/tr>
XAI systems for health-care<\/td>XAI technologies for autonomous driving<\/td>XAI methods for bioinformatics<\/td><\/tr>
XAI methods for linguistics\/machine translation<\/td>XAI methods for neuroscience<\/td>XAI models & applications for IoT<\/td><\/tr>
XAI methods for XAI for terrestrial, atmospheric, & ocean remote sensing<\/td>XAI in sustainable finance & climate finance<\/td>XAI in bio-signals analysis<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Submission<\/strong><\/p>\n\n\n

\n

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\u00a0format provided here<\/a>.<\/strong> 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<\/strong>, so submitted manuscripts must not be currently under review at another publication venue. <\/mark><\/p>\n\n\n\n

Articles must be submitted using the easy-chair platform here<\/a><\/strong>.<\/td>\"\"<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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.<\/p>\n\n\n\n

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:<\/p>\n\n\n\n

full articles<\/strong><\/td>between 12 and 24 pages (including references)<\/td><\/tr>
short articles<\/strong><\/td>between 8 and 12 pages (including references)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n\n\n\n

\"\"<\/td>Full articles<\/strong> should report on original and substantial contributions of lasting value<\/strong>, 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<\/strong>. Research procedures and technical methods should be presented sufficiently to ensure scrutiny and reproducibility<\/strong>. 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.<\/td><\/tr>
\"\"<\/td>Shorter articles <\/strong>should generally report on advances that can be described, set into context, and evaluated concisely<\/strong>. These articles are not ‘work-in-progress’<\/strong> 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. <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Appendixes and supplemental material<\/strong><\/p>\n\n\n\n

Appendixes and supplemental material must be placed within the article and the maximum amount of pages mentioned above. In other words, everything must be within 24 pages (for full articles) and 12 pages (for short articles).<\/p>\n\n\n\n

Special track articles<\/strong><\/p>\n\n\n\n

The article submitted to the special tracks follows the submission procedure of the main track and must be submitted via easy-chair<\/mark><\/strong>, 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 track must select the name of such special track in the list of topics in easy-chair, along with other relevant topics.<\/mark><\/p>\n\n\n\n

Authors commit to reviewing<\/strong><\/p>\n\n\n\n

By submitting to the conference, each senior author of a manuscript volunteer 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 organizing committee) and authors who are not qualified to be in the programme committee.<\/p>\n\n\n\n

Ethical & Human Subjects Considerations<\/strong><\/h3>\n\n\n\n

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 ethical standards and regulatory guidelines associated with human subjects research, including using 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.<\/p>\n\n\n\n

Submission and publication of multiple articles<\/strong><\/p>\n\n\n\n

Each author is limited to no more than a combined limit of 4 submissions to the main conference track, and authors may not be added or deleted from papers following submission.<\/p>\n\n\n\n

Important dates<\/h2>\n\n\n
\n

*All dates are Anywhere on Earth time (AoE<\/strong>)<\/a><\/em><\/p>\n\n\n\n

Articles<\/strong> (main track & special tracks)<\/p>\n\n\n\n

Authors\/title registration deadline on submission platform (easy-chair<\/em>)*:<\/td>March, 1st<\/s>, March, 8th, 2024<\/s><\/td><\/tr>
Article upload deadline on submission platform (easy-chair<\/em>)*:<\/td>March, 5<\/s>, March 15th, 2024<\/s><\/td><\/tr>
Notification of acceptance*:<\/td>April, 5, 2024<\/s><\/td><\/tr>
Registration (payment<\/a>)<\/strong> and camera-ready* (upload to easy-chair<\/em>):<\/td>April, 10<\/s>, April 15th, 2024<\/td><\/tr>
Article presentation instructions notification<\/td>June, 2024<\/td><\/tr>
Accepted article presentation (at xAI-2024)<\/td>17-19 July, 2024<\/td><\/tr>
Publication (Springer CCIS series)<\/td>September\/October, 2024<\/td><\/tr><\/tbody><\/table>
*full, short and special track articles<\/mark><\/em><\/figcaption><\/figure>\n\n\n\n

Late-breaking work & demos<\/strong><\/p>\n\n\n\n

Late-breaking work & demo author\/title\/abstract registration on submission platform (easy-chair<\/em>):<\/td>April<\/s>, 12th,<\/s> 20th 2024<\/s><\/td><\/tr>
Late-breaking work & demo article upload deadline on submission platform (easy-chair<\/em>):<\/td>April<\/s>, 16th,<\/s> 20th 2024<\/s><\/td><\/tr>
Notification of acceptance:<\/td>April, 30th<\/s>, 5th of May, 2024<\/s><\/td><\/tr>
Registration (payment<\/a>)<\/strong> & Late-breaking work & demo camera-ready (upload to easy-chair<\/em>):<\/td>May 5th<\/s> 15th, 2024<\/td><\/tr>
Late-breaking work & demo presentation instructions notification<\/td>June, 2024<\/td><\/tr>
Late-breaking work & demo presentations (at xAI-2024)<\/td>17-19 July, 2024<\/td><\/tr>
Publication (planned with CEUR-WS.org*)<\/td>September\/October, 2024<\/td><\/tr><\/tbody><\/table>
*Proceedings shall be submitted to CEUR-WS.org for online publication<\/mark><\/em><\/figcaption><\/figure>\n\n\n\n

Doctoral consortium (DC) proposal<\/strong>s<\/p>\n\n\n\n

DC Proposal author\/title registration deadline on submission platform (easy-chair<\/em>):<\/td>April, 12th,<\/s> 16th 2024<\/td><\/tr>
DC Proposal uploads deadline on the submission platform (easy-chair<\/em>):<\/td>April, 16th,<\/s> 26th 2024<\/td><\/tr>
Notification of acceptance:<\/td>May, 3rd, 2024<\/td><\/tr>
Registration (payment<\/a>)<\/strong> <\/td>May, 7th, 2024<\/td><\/tr>
DC presentation and meeting instructions notification<\/td>June, 2024<\/td><\/tr>
Doctoral consortium meeting (at xAI-2024)<\/td>17-19 July, 2024<\/td><\/tr>
Publication (planned with CEUR-WS.org*)<\/td>September\/October, 2024<\/td><\/tr><\/tbody><\/table>
*Proceedings shall be submitted to CEUR-WS.org for online publication<\/mark><\/em><\/figcaption><\/figure>\n\n\n\n

Special track proposals<\/strong><\/p>\n\n\n\n

Proposal submission (contact<\/a>)<\/em>:<\/td>10 January<\/s>, 17th of January, 2024<\/s><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Conference<\/strong><\/p>\n\n\n\n

The World Conference on eXplainable AI<\/td>17-19 July, 2024<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n

Review process<\/p>\n\n\n

\n

The Peer-Review process<\/strong><\/p>\n\n\n\n

All articles submitted within the deadlines and per the guidelines will be subjected to a single-blind<\/strong> 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.<\/mark><\/em> 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.\u00a0Each submitted article will be reviewed by at least two appropriate committee members <\/strong>(main\/special track programme committee, late-breaking work\/demo\/DC committee).<\/p>\n\n\n\n

After completion of the review process, the authors will be informed about the acceptance or rejection <\/strong>of the submitted work. The reviewers\u2019 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<\/strong> in any of the planned conference proceedings.<\/p>\n\n\n\n

The article’s final version must follow the appropriate style guide <\/strong>and contain the authors\u2019 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.<\/p>\n\n\n\n

Code of Ethics<\/strong><\/p>\n\n\n\n

Inspired by the code of ethics<\/a> 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.<\/p>\n<\/div>\n\n\n

Publication & indexing<\/p>\n\n\n

\n

Each accepted and presented full, short paper (for the main and special tracks<\/mark>), 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<\/a>, edited by the general\/PC chairs.\u00a0 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.<\/p>\n\n\n\n

If authors want to publish their article OPEN ACCESS<\/strong> (upon a fee with Springer), please refer to this page<\/a>.<\/mark><\/strong><\/p>\n\n\n\n

\"\"<\/td>\"\"<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Indexing<\/strong><\/p>\n\n\n\n

\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"

2nd World Conference on eXplainable Artificial Intelligence Call for papers Artificial intelligence has seen a significant shift in focus towards designing and developing intelligent systems that are 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 … <\/p>\n","protected":false},"author":1,"featured_media":2632,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","footnotes":""},"class_list":["post-593","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/pages\/593","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/comments?post=593"}],"version-history":[{"count":33,"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/pages\/593\/revisions"}],"predecessor-version":[{"id":4780,"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/pages\/593\/revisions\/4780"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/media\/2632"}],"wp:attachment":[{"href":"https:\/\/xaiworldconference.com\/2024\/wp-json\/wp\/v2\/media?parent=593"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}