London, UK (fully online), 3 - 7 May 2021
The 3rd International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2021) is a forum to discuss and disseminate research on explainable artificial intelligence with a particular focus on cross-disciplinary perspectives. This edition of the workshop has two particular focus topics with the ultimate goal to strengthen bleeding-edge foundational and applied research:
1. XAI in Action: Applied perspectives.
EXTRAAMAS explicitly encourages the submission of applied research and demonstration papers. To further facilitate applied perspectives, EXTRAAMAS will organize a panel of industry experts. The panel will be guided to discuss a set of -- sometimes provocative questions -- in interaction with the audience. To facilitate engineering perspectives, EXTRAAMAS will feature a keynote by Julie Shah, leader of the
2. Explainable Reasoning in Face of Contradictions: Cross-disciplinary Perspectives.
To facilitate basic research questions that lie at the heart of the AAMAS community, EXTRAAMAS explicitly encourages submissions on symbolic approaches to explainable AI and explainable agency. The corresponding EXTRAAMAS session will be kicked off by a keynote by Dov Gabbay, Augustus De Morgan Professor Emeritus of Logic at the Department of Informatics, King’s College London & Professor Emeritus at Bar-Ilan University, Israel. Selected papers will be invited to a special issue in the Journal of Applied Logics - IfCoLoG Journal of Logics and their Applications.
Workshop CfP Special Issue CfP
All accepted papers are eligible for publication in the Springer Lecture Notes of Artificial Intelligence conference proceedings (after revisions have been applied).
Special Focus: Explainable Reasoning in Face of Contradictions
Principle-based symbolic reasoning and explainable loop-busting
XAI and formal models of human reasoning
Neuro-symbolic approaches to explainable and principle-based reasoning
Principle-based and explainable legal reasoning
Other cross-disciplinary perspectives on explainable reasoning and contradiction resolution
Explainable Agents and Robots
Explainable agent architectures
Explainable & Expressive robots
Explainable human-robot collaboration
Reinforcement Learning Agents
XAI & Ethics
AI, ethics, and explainability
XAI vs AI
XAI & MAS
Multi-actors interaction in XAI
XAI for agent/robots teams
Simulations for XAI
Cognitive and social sciences perspectives on explanations
HCI for XAI
Legal aspects of explainable agents
XAI Machine learning and Knowledge Representation
Bridging symbolic and subsymbolic XAI
Knowledge generation from interpretations
Explainable knowledge generation