ArgXAI-22: 1st International Workshop on Argumentation for eXplainable AI 9th International Conference on Computational Models of Argument Cardiff, UK, September 12, 2022 |
Conference website | https://people.cs.umu.se/tkampik/argxai/2022.html |
Submission link | https://easychair.org/conferences/?conf=argxai22 |
Abstract registration deadline | July 15, 2022 |
Submission deadline | July 15, 2022 |
COMMA 2022 Workshop: Argumentation for XAI (ArgXAI)
We kindly invite contributions to the 1st Workshop on Argumentation for eXplainable Artificial Intelligence (ArgXAI, https://people.cs.umu.se/tkampik/argxai/2022.html) to be held on the 12th September 2022 at the International Conference on Computational Models of Argument (COMMA 2022, https://comma22.cs.cf.ac.uk/, Cardiff & Online).
In recent years, research on intelligent systems that can explain their inferences and decisions to (human and machine) users has emerged as an important subfield of Artificial Intelligence (AI). In this context, the interest in symbolic and hybrid approaches to AI and their ability to facilitate explainable and trustworthy reasoning and decision-making -- often in combination with machine learning algorithms -- is increasing. Computational argumentation is considered a particularly promising paradigm for facilitating explainable AI (XAI). This trend is reflected by the fact that many researchers who study argumentation have started to i) apply argumentation as a method of explainable reasoning; ii) combine argumentation with other subfields of AI, such as knowledge representation and reasoning (KR) and machine learning (ML), to facilitate the latter’s explainability; iii) study explainability properties of argumentation. Given the substantial interest in these different facets of argumentative XAI, this workshop aims at providing a forum for focused discussions of the recent developments on the topic.
The workshop will feature works and discussions on diverse perspectives of argumentative explainability. Specifically, we will cover the formal foundations of explaining argumentative inferences and argumentative properties of explanations, as well as applications of argumentation to facilitate explainability. The event would appeal to the growing part of the core argumentation community that works on explainable argumentation, as well as to applied researchers who intend to use computational argumentation for explainability purposes. The aim of this workshop is to bring together researchers from the fields of computational argumentation and eXplainable Artificial Intelligence (XAI). We specifically seek contributions that present formal work on argumentative explainability, as well as argumentative approaches that explain the behaviour of intelligent systems (argumentation for XAI).
Submission Guidelines
We will welcome:
- Original contributions in the form of mature papers or work in progress;
- Incremental developments (of at least 30% new material) of already published work.
Submissions must be up to 12 pages in PDF format, including abstracts, figures and references, and according to the CEUR-WS template https://www.overleaf.com/read/gwhxnqcghhdt. The reviewing will be single-blind.
All submissions will be made electronically, through the EasyChair conference system at https://easychair.org/conferences/?conf=argxai22.
Accepted papers will be included in CEUR-WS proceedings after a careful review process, likely before the workshop date. At least one of the authors will be required to register and attend the COMMA conference to present the paper in order for it to be included in the workshop proceedings.
Important Dates:
- Paper submission deadline:
8th July 202215th July 2022 AoE (extended) - Notification of acceptance: 15th August 2022
- Camera-ready version: 1st September 2022
- Workshop date: 12th September 2022
List of Topics
Topics include, but are not limited to:
- Argumentative Explainability
- Formal definitions of explanations
- Computational properties of explanations
- Neuro-symbolic explainable argumentation
- Explanation as a form of argumentation
- Human intelligibility of formal argumentation
- Dialectical, dialogical and conversational explanations
- AI methods to support argumentative explainability
- Argumentation for XAI
- Applications of argumentation for explainability in the fields of AI (e.g. machine learning, machine reasoning, multi-agent systems, natural language processing) and overlapping fields of research (e.g. optimisation, human-computer interaction, philosophy and social sciences)
- User-acceptance and evaluation of argumentation-based explanations
- Software systems that provide argumentation-based explanations
- Other defeasible reasoning approaches to XAI
Organisation
Program Committee
- Nico Potyka, Imperial College London
- Johannes Wallner, Graz University of Technology
- Tjitze Rienstra, Maastricht University
- Pietro Baroni, University of Brescia
- Henry Prakken, Utrecht University, University of Groningen
- Wijnand van Woerkom, Utrecht University
- Leila Amgoud, CNRS
- Alejandro Javier García, Universidad Nacional del Sur
- Fernando Tohme, Universidad Nacional del Sur
- Antonis Kakas, University of Cyprus
- Beishui Liao, Zhejiang University
- Nadin Kökciyan, University of Edinburgh
- Isabel Sassoon, Brunel University London
- Jérôme Delobelle, University of Paris
- Anna Collins, King’s College London
- Xiuyi Fan, Nanyang Technological University
- Alexandros Vassiliades, Aristotle University of Thessaloniki
- Nick Bassiliades, Aristotle University of Thessaloniki
- Alison R. Panisson, Federal University of Santa Catarina
- Mariela Morveli-Espinoza, Federal University of Technology - Paraná
- Juan Carlos Nieves, Umeå University
- Jieting Luo, Zhejiang University
- Roberta Calegari, University of Bologna
- Francesca Mosca, King’s College London
- Elizabeth Sklar, University of Lincoln
- Simon Parsons, University of Lincoln
- Madalina Croitoru, University of Montpellier
- Zeynep G. Saribatur, Vienna University of Technology
- Christian Straßer, Ruhr-University Bochum
- Elizabeth Black, King’s College London
- Odinaldo Rodrigues, King’s College London
- Serena Villata, CNRS
- Anthony Hunter, University College London
- Markus Ulbricht, Leipzig University
Organisers
- Kristijonas Čyras, Ericsson Research
- Timotheus Kampik, Umeå University and SAP
- Oana Cocarascu, King’s College London
- Antonio Rago, Imperial College London