Auckland, NZ (fully online), 9 - 10 May 2022
The 4th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2022) 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 three particular focus topics with the ultimate goal to strengthen cutting-edge foundational and applied research:
1. XAI Fundamentals.
EXTRAAMAS encourages the submission of seminal and visionary research papers.
2. XAI in Action: Applied perspectives.
EXTRAAMAS explicitly encourages the submission of applied research and demo papers.
3. XAI and Law Cross-disciplinary Perspectives.
All accepted papers are eligible for publication in the Springer Lecture Notes of Artificial Intelligence conference proceedings (after revisions have been applied).
Special Track I: Explainable vs Legal AI
Legal requirements of explainability
Technical human-in-the-loop vs the legal notion of automated decision making
XAI in the Law domain
XAI for legal explanations
XAI for explaining legal decisions
Special Track II: The chist-ERA of XAI
Human- and agent-based argumentation for XAI
XAI and reinforcement learning
Knowledge graphs for XAI
Computational creativity and Planning for XAI - XAI and robotics
Symbolic knowledge extraction/injection
Graph neural networks for XAI
XAI for deep-learning-aided diagnoses
Case-based reasoning in XAI
Complex-networks for XAI
Success stories and surveys about XAI
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
Missed EXTRAAMAS2022? check the archive, the contents are already online!
11.05.2022
14 Papers accepted for presentation!
10.04.2022
Website is updated!
(15 Dec 2021)