<html><body><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div data-marker="__SIG_PRE__"><div><div>Please, accept our apologies in case of multiple copies of this CFP. </div><div><br></div><div>*************************************************************************************************************************************</div><div><br></div><div>The 4th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2022) </div><div>Auckland, New Zealand (fully online), 9 - 10 May 2022</div><div><br></div><div>https://extraamas.ehealth.hevs.ch/</div><div><br></div><div>held in conjunction with:</div><div><br></div><div>21st International Conference on Autonomous Agents and Multiagent Systems, May 09-13, 2022 Auckland, New Zealand</div><div><br></div><div> https://aamas2022-conference.auckland.ac.nz/</div><div><br></div><div>**************************************************************************************************************************************</div><div>Aim and Scope:</div><div>==============</div><div><br></div><div>The workshop aims to gather researchers interested in developing explainable approaches to Artificial Intelligence (AI), in particular to explainable agency, learning, reasoning, and their intersections. </div><div>Participants are invited to submit papers addressing whichever phase of explainability (e.g., generation, communication, and reception) fostering transparency in autonomous agents and Multi-Agent Systems (MAS), robots, and other intelligent systems. </div><div>This edition of the workshop has three particular focus topics with the ultimate goal to strengthen cutting-edge foundational and applied research:</div><div>1. XAI Fundamentals</div><div>2. XAI in Action: Applied perspectives</div><div>3. XAI and Law Cross-disciplinary Perspectives</div><div><br></div><div><br></div><div>Important Dates: </div><div>================</div><div><br></div><div>Deadline for Submissions: 1 March 2022</div><div><br></div><div>Notification of acceptance: 10 March 2022</div><div><br></div><div>Workshop days: 9-10 May 2022</div><div><br></div><div>Camera-ready: 20 May 2022</div><div> </div><div>Topics: </div><div>=======</div><div><br></div><div># Special Track I: XAI & Law</div><div>- Legal requirements of explainability</div><div>- Technical human-in-the-loop vs the legal notion</div><div>of automated decision making</div><div>- XAI in the Law domain</div><div>- XAI for legal explanations & explaining legal decisions</div><div><br></div><div># Special Track II: The chist-ERA of XAI</div><div>- Human- and agent-based argumentation for XAI</div><div>- XAI and reinforcement learning</div><div>- Knowledge graphs for XAI</div><div>- Computational creativity and Planning for XAI</div><div>- XAI and robotics</div><div>- Symbolic knowledge extraction/injection</div><div>- Graph neural networks for XAI</div><div>- XAI for deep-learning-aided diagnoses</div><div>- Case-based reasoning in XAI</div><div>- Complex-networks for XAI</div><div>- Success stories and surveys about XAI</div><div><br></div><div># Interdisciplinary Aspects</div><div>- Cognitive & social sciences perspectives on explanations</div><div>- HCI for XAI</div><div>- Explanation visualization</div><div><br></div><div># XAI & Ethics</div><div>- Social XAI</div><div>- AI, ethics, and explainability</div><div>- XAI vs AI</div><div><br></div><div># XAI & MAS</div><div>- Multi-actors interaction in XAI</div><div>- XAI for agent/robots teams</div><div>- Simulations for XAI</div><div><br></div><div># XAI Machine learning and Knowledge Representation</div><div>- Bridging symbolic and subsymbolic XAI</div><div>- Knowledge generation from interpretations</div><div>- Explanation visualization</div><div>- Explainable knowledge generation</div><div><br></div><div>#Explainable Agents and Robots</div><div>- Explainable agent architectures & Personalized XAI</div><div>- Explainable & Expressive robots</div><div>- Explainable human-robot collaboration</div><div>- Reinforcement Learning Agents</div><div>- Multi-modal explanations</div><div><br></div><div><br></div><div>Submission: </div><div>===========</div><div><br></div><div>https://easychair.org/conferences/?conf=extraamas2022</div><div><br></div><div>All accepted papers can be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). </div><div>Participants are therefore invited to submit papers up to 16 pages (excl. references) in length (5 pages incl. references for demo papers), addressing the topics of the workshop. </div><div>Papers must be edited using the LNCS format (applying the LNCS post-proceedings template) and have to be submitted electronically as PDF files via the EasyChair submission page.</div><div><br></div><div> </div><div>Chairs</div><div>~~~~~~</div><div>Dr. Davide Calvaresi</div><div>Senior researcher at University of Applied Sciences Western Switzerland (HES-SO)</div><div><br></div><div>Dr. Amro Najjar</div><div>Associate Researcher at University of Luxembourg</div><div><br></div><div>Prof. Kary Främling</div><div>Full professor at Umeå University</div><div><br></div><div>Prof. Michael Winikoff</div><div>Full professor at Victoria University Wellington</div><div><br></div><div><br></div><div>Advisory Board</div><div>~~~~~~~~~~~~~~</div><div>Prof. Virginia Dignum</div><div>Full professor at Umeå University</div><div><br></div><div>Prof. Tim Miller</div><div>Associate professor at School of Computing and Information Systems at The University of Melbourne</div><div><br></div><div>Prof. Michael Schumacher</div><div>Full professor at University of Applied Sciences Western Switzerland (HES-SO)</div><div><br></div><div>Prof. Leon Van der Torre</div><div>Full professor at University of Luxembourg</div><div><br></div><div><br></div><div>Special Tracks Chairs</div><div>~~~~~~~~~~~~~~~~~~~~~~~~~~~~</div><div>Dr. Réka Markovich, University of Luxembourg, Luxembourg</div><div>Research areas: AI & Law and AI ethics</div><div><br></div><div>Giovanni Ciatto, University of Bologna</div><div>Research Area: AI, ML, Data Science Software Engineering</div><div><br></div><div><br></div><div>Publicity Chairs</div><div>~~~~~~~~~~~~~~~~</div><div>Dr. Yazan Mualla</div><div>Associate Professor at University of Technology of Belfort-Montbéliard</div><div><br></div><div>Rachele Carli</div><div>Ph.D. Student at Università di Bologna</div><div><br></div><div>Benoît Alcaraz</div><div>Ph.D. Student at University of Luxembourg</div><div><br></div><div><br></div><div>Contact: </div><div>========</div><div><br></div><div>For questions regarding the Workshop, please contact the conference organizers: davide.calvaresi[at]hevs.ch, amro.najjar[at]uni.lu.</div></div></div><div id="gtx-trans" style="position: absolute; left: -18px; top: 63.8333px;"><div class="gtx-trans-icon"></div></div></div></body></html>