3^rd International Workshop on

EXplainable and TRAnsparent AI and Multi-Agent Systems

(EXTRAAMAS 2021)

London, UK (fully online), 3 - 7 May 2021

The 3^rd 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 Interactive Robotics Group at MIT.

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).

Topics of EXTRAAMAS (non-exclusive list)

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

Personalized XAI

Explainable & Expressive robots

Explainable human-robot collaboration

Reinforcement Learning Agents

Multi-modal explanations

XAI & Ethics

Social XAI

AI, ethics, and explainability

XAI vs AI

XAI & MAS

Multi-actors interaction in XAI

XAI for agent/robots teams

Simulations for XAI

Interdisciplinary Aspects

Cognitive and social sciences perspectives on explanations

HCI for XAI

Legal aspects of explainable agents

Explanation visualization

XAI Machine learning and Knowledge Representation

Bridging symbolic and subsymbolic XAI

Knowledge generation from interpretations

Explanation visualization

Explainable knowledge generation