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http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=191272©ownerid=97632</div>
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Please, accept our apologies in case of multiple copies of this CFP.</div>
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The 8th International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-Agent Systems (EXTRAAMAS 2026)</div>
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https://extraamas.ehealth.hevs.ch/</div>
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held in conjunction with:</div>
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25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) in Paphos, Cyprus.</div>
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https://cyprusconferences.org/aamas2026/</div>
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Aim and Scope</div>
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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.</div>
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Important Dates:</div>
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============</div>
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Deadline for Submissions: 01 March 2026</div>
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Notification of acceptance: 25 March 2026</div>
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Camera-ready: 10 June 2026</div>
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Workshop day: 25-26 May 2026</div>
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Tracks:</div>
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============</div>
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- XAI in symbolic and subsymbolic AI:</div>
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"XAI for Machine learning</div>
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Explainable neural networks</div>
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Symbolic knowledge injection or extraction</div>
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Neuro-symbolic computation</div>
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Computational logic for XAI</div>
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Multi-agent architectures for XAI</div>
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Surrogate models for sub-symbolic predictors</div>
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Explainable planning (XAIP)</div>
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XAI evaluation"</div>
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- XAI in negotiation and conflict resolution:</div>
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"Explainable conflict resolution techniques/frameworks</div>
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Explainable negotiation protocols and strategies</div>
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Explainable recommendation systems</div>
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Trustworthy voting mechanisms</div>
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Argumentation for explaining the process itself</div>
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Argumentation for explaining and supporting the potential outcomes</div>
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Explainable user/agent profiling (e.g., learning user's preferences or strategies)</div>
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User studies and assessment of the aforementioned approaches</div>
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Applications (virtual coaches, robots, IoT)"</div>
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- Prompts, Interactive Explainability and Dialogue:</div>
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"Interactive capabilities for XAI</div>
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Arguments for persuasive explanations</div>
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Context modelling</div>
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User modelling</div>
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Initiative handling</div>
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Topic modelling</div>
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Grounding and acknowledgement</div>
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Prompt engineering</div>
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Research methodology for LLM applications</div>
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Responsible LLM applications"</div>
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- (X)AI in Law and Ethics:</div>
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"XAI in AI & Law</div>
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Fair (X)AI</div>
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XAI & Machine Ethics</div>
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Bias reduction</div>
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Deception and XAI</div>
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Nudging and XAI</div>
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Legal issues of XAI</div>
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Liability and XAI</div>
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XAI, Transparency, and the Law</div>
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Enforceability and XAI</div>
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Culture-aware systems and XAI"</div>
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Chairs:</div>
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============</div>
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Davide Calvaresi, HES-SO, Switzerland</div>
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Amro Najjar, University of Luxembourg, Luxembourg</div>
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Kary Framling, Umea & Aalto University, Sweden/Finland</div>
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Andrea Omicini, University of Bologna, Italy</div>
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Track Chairs</div>
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============</div>
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Rehyan Aydogan, Ozyegin University, Turkey</div>
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Giovanni Ciatto, University of Bologna, Italy</div>
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Rachele Carli, UMEA, Sweden</div>
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Simona Tiribelli, MIT & University of Macerata, USA/Italy</div>
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Advisory Board:</div>
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============</div>
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Virginia Dignum, Umea University, Sweden</div>
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Tim Miller, University of Melbourne, Australia</div>
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Michael Ignaz Schumacher, HES-SO, Switzerland</div>
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Leon van der Torre, University of Luxembourg</div>
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Publicity Chair:</div>
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============</div>
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Elia Pacioni, HES-SO & University of Extremadura, Switzerland/Spain</div>
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CFP link</div>
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https://extraamas.ehealth.hevs.ch/docs/CfP_EXTRAAMAS26.pdf</div>
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Submission:</div>
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============</div>
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https://easychair.org/conferences/?conf=extraamas2026</div>
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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.</div>
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Elia Pacioni</div>
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Publicity Chair</div>
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