4^th International Workshop on

EXplainable and TRAnsparent AI and Multi-Agent Systems

(EXTRAAMAS 2022)

Auckland, NZ (fully online), 9 - 10 May 2022

The 4^th 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. To facilitate engineering perspectives, EXTRAAMAS will feature a keynote by TBA, leader of the TBA at TBA.

2. XAI in Action: Applied perspectives.
EXTRAAMAS explicitly encourages the submission of applied research and demonstration papers.

3. XAI and Law Cross-disciplinary Perspectives.
TBA. To support interdisciplinary and Law-AI related perspectives, EXTRAAMAS will feature a keynote by TBA, leader of the TBA at TBA.

Workshop 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 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