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Call for Papers

EXPLAINS is sponsored by INSTICC – Institute for Systems and Technologies of Information, Control and Communication


In the future people will collaborate more and more with machines to solve complex problems using AI techniques. Such a collaboration requires adequate communication, trust, clarity and understanding.
eXplainalbe AI (XAI) aims at addressing such challenges by combining the best of symbolic AI and Machine Learning including neural models, evolutionary computing and fuzzy systems. Such topic has been studied for years by all different communities of AI, with different definitions, evaluation metrics, motivations and results. In addition to technology, this involves social and legal issues as well as a wide range of real-world applications and domains. Both interpretability by design methods and post-hoc methods for explaining complex models have been proposed and investigated. Research has also redirected its emphasis on the structure of explanations and human-centered Artificial Intelligence, recognizing that the ultimate users of interactive technologies are humans.

This conference aims at attracting different research perspectives to promote debate. It intends to be a major multidisciplinary and interdisciplinary forum, bringing together academics and scholars of different disciplines, interested in the study, analysis, design, modelling and implementation of interpretable and explainable AI systems. Contributions are welcome both in addressing theoretical issues and in a broad range of application fields.


Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:



  • Generative AI vs Interpretability
  • Explainable Generative AI
  • XAI using Machine Learning
  • Deep Learning and XAI
  • Fuzzy Systems and Logic for XAI
  • Knowledge Graphs in XAI
  • Explainable Graph Neural Networks
  • Explainable Neuro-Symbolic Reasoning
  • Evaluation of Explainability
  • Argumentative-Based Approaches for XAI
  • Bayesian Modelling for Interpretability
  • Explainable Edge Computing
  • Human-Computer Interfaces Supporting XAI
  • Natural Language Processing and XAI
  • XAI for the Semantic Web
  • Ontologies Supporting XAI
  • Metrics for Explanations
  • XAI Benchmarking
  • Evolutionary XAI Approaches
  • XAI for Evolutionary Computing
  • Post-Hoc Methods for Explainability
  • Model-Specific vs Model-Agnostic Methods for Explainability


  • Ethical Concerns of XAI
  • Accountability and Responsibility
  • Explainable Bias and Fairness of XAI Systems
  • Model Accuracy and Interpretability
  • Explainability Pitfalls and Problems in XAI
  • Prevention/Detection of Deceptive AI Explanations
  • Social Implications of Synthetic Explanations
  • Trust Management and Reputation
  • Regulatory Compliance
  • Adversarial Attacks Explanations


  • Healthcare and Biomedical Sciences
  • Human/AI Cooperation
  • Decision-Support Systems
  • Recommender Systems
  • Computer Vision Applications
  • Robotics and Control Systems
  • Explaining Object and Obstacle Detection
  • Explainable Methods for Finance
  • Explaining Project Risk
  • Explainability in Transportation Systems
  • Supply Chains and Industry 4.0
  • Internet of Things
  • Security and Privacy
  • Privacy-Preserving Systems


EXPLAINS 2024 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.


Authors can submit their work in the form of a complete paper or an abstract, but please note that accepted abstracts are presented but not published in the proceedings of the conference. Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas.

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

When submitting a complete paper please note that only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.


All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef ( and every paper on our digital library is given a DOI (Digital Object Identifier).
The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


Conference Date: 20 - 22 November, 2024

Paper Submission: June 3, 2024
Authors Notification:
July 31, 2024
Camera Ready and Registration:
September 13, 2024

Paper Submission: July 17, 2024
Authors Notification:
September 12, 2024
Camera Ready and Registration:
September 25, 2024

Workshop Proposal: June 26, 2024

Doctoral Consortium
Paper Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024

Special Sessions
Special Session Proposal: June 26, 2024

Tutorial Proposal: October 9, 2024

Demo Proposal: October 9, 2024

Panel Proposal: October 9, 2024

Abstract Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024


EXPLAINS Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186


Available soon.


Joaquim FilipePolytechnic Institute of Setubal / INSTICC, Portugal


Francesco MarcelloniDipartimento di Ingegneria dell'Informazione, University of Pisa, Italy
Kurosh MadaniLISSI Lab. / Institut Universitaire de Technologie de Sénart, University of Paris-EST Créteil (UPEC), France
Niki van SteinNatural Computing, Leiden University, Netherlands


Mohammad Saniee Abadeh, Tarbiat Modares University, Iran, Islamic Republic of
Jaumin Ajdari, Independent Researcher, North Macedonia
Cesar Analide, Department of Informatics, University of Minho, Portugal
Javier Andreu-Perez, University of Essex, United Kingdom
Shahina Begum, Mälardalen University, Sweden
Stefano Bistarelli, University of Perugia, Italy
Szymon Bobek, Jagiellonian University, Poland
Anna S. Bosman, University of Pretoria, South Africa
Mario G.C.A. Cimino, University of Pisa, Italy
Scott Dick, Electrical & Computer Engineering, University of Alberta, Canada
Gianna Figà-Talamanca, Department of Economics, University of Perugia, Italy
Gizem Gezici, KDD Lab, Scuola Normale Superiore Pisa, Italy
Romain Giot, Université de Bordeaux, France
Paolo Giudici, University of Pavia, Italy
Riccardo Guidotti, University of Pisa, Italy
Maki Habib, Mechanical Eng. Dept., , The American University in Cairo, Egypt
Ayoobi Hamed, Imperial College London, United Kingdom
Richard Jiang, Lancaster University, United Kingdom
Peter Kieseberg, St. Poelten University of Applied Sciences, Austria
Stefano Mariani, University of Modena and Reggio Emilia, Italy
Hall Mark, Airbus, United Kingdom
Tshilidzi Marwala, University of Johannesburg, South Africa
Manuel Mazzara, Innopolis University, Russian Federation
José M. Molina, Computer Science, Universidad Carlos III de Madrid, Spain
Hossein Nezamabadi-pour, , Iran, Islamic Republic of
Yusuke Nojima, Osaka Metropolitan University, Japan
Elpiniki Papageorgiou, University of Thessaly, Greece
Michael Pazzani, Isi, University of Southern California, United States
Wael Rashwan, School of Business Technology, Technological University Dublin, Ireland
Timo Speith, University of Bayreuth, Germany
Matias Valdenegro-Toro, Department of Artificial Intelligence, University of Groningen, Netherlands
Leonilde R. Varela, University of Minho, University of Minho, Portugal
Gianni Vercelli, DIBRIS, Università degli Studi di Genova, Italy
Constantin Volosencu, Department of Automation and Applied Informatics, Politehnica University Timisoara, Romania

(list not yet complete)