[agents] The 4th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2022)
Yazan Mualla
yazan.mualla at utbm.fr
Fri Dec 24 10:05:40 EST 2021
Please, accept our apologies in case of multiple copies of this CFP.
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The 4th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2022)
Auckland, New Zealand (fully online), 9 - 10 May 2022
https://extraamas.ehealth.hevs.ch/
held in conjunction with:
21st International Conference on Autonomous Agents and Multiagent Systems, May 09-13, 2022 Auckland, New Zealand
https://aamas2022-conference.auckland.ac.nz/
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Aim and Scope:
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The workshop aims to gather researchers interested in developing explainable approaches to artificial intelligence, in particular to explainable agency, learning, reasoning, and their intersections.
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.
Compliance with such requirements is becoming necessary in most systems where agent-oriented approaches are increasingly employed.
Important Dates:
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Deadline for Submissions: 1 March 2022
Notification of acceptance: 10 March 2022
Workshop days: 9-10 May 2022
Camera-ready: 20 May 2022
Topics:
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# 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
- Cross-disciplinary 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
# 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
# XAI & MAS
- Multi-actors interaction in XAI
- XAI for agent/robots teams
- Simulations for XAI
# Explainable vs Legal AI
Submission:
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https://easychair.org/conferences/?conf=extraamas2022
All accepted papers can be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI).
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.
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.
Chairs
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Dr. Davide Calvaresi
Senior researcher at University of Applied Sciences Western Switzerland (HES-SO)
Dr. Amro Najjar
Associate Researcher at University of Luxembourg
Prof. Kary Främling
Full professor at Umeå University
Prof. Michael Winikoff
Full professor at Victoria University Wellington
Advisory Board
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Prof. Virginia Dignum
Full professor at Umeå University
Prof. Tim Miller
Associate professor at School of Computing and Information Systems at The University of Melbourne
Prof. Michael Schumacher
Full professor at University of Applied Sciences Western Switzerland (HES-SO)
Prof. Leon Van der Torre
Full professor at University of Luxembourg
XAI vs Legal AI Track Chairs
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Dr. Reka Markovich
Associate Professor at University of Luxembourg
Publicity Chairs
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Dr. Yazan Mualla
Associate Professor at University of Technology of Belfort-Montbéliard
Giovanni Ciatto
Ph.D. Student at Università di Bologna
Contact:
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For questions regarding the Workshop, please contact the conference organizers: davide.calvaresi[at]hevs.ch, amro.najjar[at]uni.lu.
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