[Event at CIG] EXTRAAMAS 2022 Call For Papers - AAMAS 2022

[Benoît ALCARAZ]

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:
==============

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.
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.
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
2. XAI in Action: Applied perspectives
3. XAI and Law Cross-disciplinary Perspectives


Important Dates:
================

Deadline for Submissions: 1 March 2022

Notification of acceptance: 10 March 2022

Workshop days: 9-10 May 2022

Camera-ready: 20 May 2022

Topics:
=======

# Special Track I: XAI & Law
- 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 & 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

# Interdisciplinary Aspects
- Cognitive & social sciences perspectives on explanations
- HCI for XAI
- Explanation visualization

# 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

# XAI Machine learning and Knowledge Representation
- Bridging symbolic and subsymbolic XAI
- Knowledge generation from interpretations
- Explanation visualization
- Explainable knowledge generation

#Explainable Agents and Robots
- Explainable agent architectures & Personalized XAI
- Explainable & Expressive robots
- Explainable human-robot collaboration
- Reinforcement Learning Agents
- Multi-modal explanations


Submission:
===========

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
~~~~~~
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
~~~~~~~~~~~~~~
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


Special Tracks Chairs
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Dr. Réka Markovich, University of Luxembourg, Luxembourg
Research areas: AI & Law and AI ethics

Giovanni Ciatto, University of Bologna
Research Area: AI, ML, Data Science Software Engineering


Publicity Chairs
~~~~~~~~~~~~~~~~
Dr. Yazan Mualla
Associate Professor at University of Technology of Belfort-Montbéliard

Rachele Carli
Ph.D. Student at Università di Bologna

Benoît Alcaraz
Ph.D. Student at University of Luxembourg


Contact:
========

For questions regarding the Workshop, please contact the conference
organizers: davide.calvaresi at hevs.ch, amro.najjar at uni.lu.