Logo XCBR: Third Workshop on Case-based Reasoning for the explanation of intelligent systems

XCBR: Third Workshop on Case-based Reasoning for the explanation of intelligent systems

29th International Conference on Case-Based Reasoning June, 2021, in Salamanca, Spain

Call for Papers

Third Workshop on XCBR: Case-based Reasoning for the explanation of intelligent systems.

XCBR is a workshop aiming to provide a medium of exchange for information about trends, research issues and practical experiences in the use of Case-based Reasoning (CBR) methods for the inclusion of explanations to several AI techniques (including CBR itself).

The success of the intelligent systems has led to an explosion of the generation of new autonomous systems with new capabilities like perception, reasoning, decision support and self-actioning. Despite the tremendous benefits of these systems, they work as black-box systems and their effectiveness is limited by their inability to explain their decisions and actions to human users. The problem of explainability in Artificial Intelligence is not new but the rise of the autonomous intelligent systems has created the necessity to understand how these intelligent systems achieve a solution, make a prediction or a recommendation or reason to support a decision in order to increase users reliability in these systems. Additionally, the European Union included in their regulation about the protection of natural persons with regard to the processing of personal data a new directive about the need of explanations to ensure fair and transparent processing in automated decision-making systems.

The goal of Explainable Artificial Intelligence (XAI) is “to create a suite of new or modified machine learning techniques that produce explainable models that, when combined with effective explanation techniques, enable end users to understand, appropriately trust, and effectively manage the emerging generation of Artificial Intelligence (AI) systems”.

For this purpose, the XCBR workshop is intended to have a structure of activities that helps exchange of ideas and interaction, suited to highlight the main bottlenecks and challenges, as well as the more promising research lines, for CBR research related to the explanation of intelligent systems.

CBR systems have previous experiences in interactive explanations and in exploiting memory-based techniques to generate these explanations that can be successfully applied to the explanation of emerging AI and machine learning techniques.

Research contributions submitted to the workshop will be related to areas that include, but are not limited to, the following:

  • AI explanation methods using CBR: CBR explanations of ML techniques, planning, recommender systems, decision-making techniques.
  • CBR for explaining data obtained from sensor systems, Internet of Things, or wearables.
  • Explanations of complex CBR systems.
  • Hybrid CBR models to provide explanation capabilities.
  • Case-based explanation capabilities for different domains.
  • Lessons learned in XCBR investigations.
  • Challenge tasks for XCBR systems in novel AI techniques.
  • Measures and methods of evaluation for assessing case-based explanations.
  • User interaction for explanations.
  • The role of experience on explainability.

Participation

The Organizing Committee will select a subset of the submitted papers for oral presentation. As ICCBR 2020 will be virtual-physical, there are two ways to participate:

  • Virtual: Participants who are unable or would prefer not to travel to Salamanca will have the option to attend and present virtually. ICCBR will provide a virtual option regardless of any future changes to international travel and health conditions.
  • Physical: To the extent ICCBR organizers can safely hold an in-person event, participants will have the option to attend and present at the physical conference venue. In the event that holding an in-person conference is infeasible due to restrictions, health/safety concerns, or low expected in-person participation, the event may transition to a purely virtual conference. ICCBR organizers recommend postponing travel bookings until they have confirmed that an in-person portion will take place.

Important Dates

July 2nd, 2021 Paper submission deadline
July 19th, 2021 Notification of acceptance
July 31st, 2021 Camera-ready submission
September 11th-16th Workshop date (to be confirmed)

Submission

We invite submissions of two types:

  • Long research and application papers: a maximum of 12 pages describing original contributions.
  • Short position papers: a maximum of 6 pages describing new research ideas and partially developed frameworks

Papers must be submitted in electronic form as PDF. Springer LNCS is the format required for the final camera-ready copy. Authors' instructions along with LaTeX and Word macro files are available on the web at Springer.

Please submit your work via the EasyChair system using the following link and selecting track "Third Workshop on Case-Based Reasoning for the Explanation of Intelligent Systems":
Submit your paper

Here you can find the copyright form for the ICCBR workshops:
Copyright form

Program commitee

  • David Aha, Naval Research Laboratory, USA
  • David Leake, Indiana University, USA
  • Jose L. Jorro-Aragoneses, UCM, Madrid
  • Stelios Kapetanakis, University of Brighton, UK
  • Enric Plaza, IIIA, CSIC, Spain
  • Barry Smyth, University College Dublin, Ireland
  • Nirmalie Wiratunga, Robert Gordon University, UK
  • Mark Keane, University College Dublin, Ireland
  • Jakob Schönborn, Universität Hildesheim, Germany

Organizers

Juan A. Recio García
Juan A. Recio García
University Complutense of Madrid, Spain
Belén Díaz Agudo
Belén Díaz Agudo
University Complutense of Madrid, Spain
Derek Bridge
Derek Bridge
University College Cork, Ireland