Call for Papers

Call for Papers


We encourage the submission of original contributions, investigating novel methodologies to to build transparent and scrutable AI systems and algorithms. In particular, authors can submit:

(A) Regular papers (max. 12 + references – Springer LLNCS format);
(B) Short/Position papers (max 6 pages + references - Springer LLNCS format);

Topics of Interest

  • - Explainable Artificial Intelligence?
  • - Interpretable and Transparent Machine Learning Models?
  • - Strategies to Explain Black Box Decision Systems
  • - Designing new Explanation Styles
  • - Evaluating Transparency and Interpretability of AI Systems
  • - Technical Aspects of Algorithms for Explanation
  • - Theoretical Aspects of Explanation and Interpretability
  • - Ethics in Explainable AI
  • - Argumentation Theory for Explainable AI


Submission Site https://easychair.org/conferences/?conf=aixia2021

All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality. Papers should be formatted according to the Springer LLNCS Style: (template)
Submissions should be single blinded, i.e. authors names should be included in the submissions. Submissions must be made through the EasyChair conference system prior the specified deadline (all deadlines refer to GMT) by selecting XAI.it as submission track. At least one of the authors should register and take part at the conference to make the presentation.


Important Dates
* Paper submission deadline: October 1st, 2021
* Notification to authors: November 8th, 2021
* Camera-Ready submission: November 22nd, 2021

Proceedings and Post Proceedings

All accepted papers will be published in the AIxIA series of CEUR-WS. A selection of the best papers, accepted for the presentation at the workshops, will be invited to submit an extended version for publication on “intelligenza Artificiale”, the International Journal of the Italian Association for Artificial Intelligence, edited by IOS Press and indexed by Thomson Reuters' "Emerging Sources Citation Index" and Scopus by Elsevier.


For any information write to:

cataldo.musto@uniba.it;