<html> <head> <meta http-equiv="Content-Type" content="text/html; charset=Windows-1252"> <style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style> </head> <body dir="ltr"> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> * Apologies for cross-postings *</div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>2nd Call for Papers</b> , Paper submission <b>deadline 21 May</b></div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> 2nd Workshop on Multimodal, Affective and Interactive Explainable AI (MAI-XAI-25), collocated with the European Conference on Artificial Intelligence (ECAI), October 25-30, Bologna Italy</div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt;" class="elementToProof"> <span style="color: rgb(17, 85, 204);"><a href="https://sites.google.com/view/mai-xai25" target="_blank" id="OWAa31e7a83-f4f3-97a9-df13-9a1a0f89658b" class="OWAAutoLink" title="https://sites.google.com/view/mai-xai25" rel="noopener noreferrer nofollow" style="color: rgb(17, 85, 204);" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://sites.google.com/view/mai-xai25&source=gmail&ust=1747427095905000&usg=AOvVaw3iASrpG1oQxWN76obgPoey">https://sites.google.com/view/mai-xai25</a></span><span style="color: rgb(0, 0, 0);"> </span></div> <div style="margin: 0px 0px 12pt; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="text-align: justify; margin-top: 0px; margin-bottom: 1em; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> The field of eXplainable Artificial Intelligence (XAI) is concerned with developing methods that make the decisions / predictions by machine learned models accessible and understandable to different stakeholders, ranging from machine learning experts to lay users. An important goal is to design systems in a human-centered manner, ensuring that explanations are effective in enhancing the understanding of human users about the model and empower them to perform an appropriate action. </div> <div style="text-align: justify; margin-top: 0px; margin-bottom: 1em; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> Yet, the current state of the art in XAI is limited in this respect. Many studies in the field of XAI are concerned with evaluating technology in an intrinsic fashion regarding measures such as validity, proximity, etc. that tell us little about the actual effectiveness of explanations from an end user perspective. Further, there is a lack of methods that allow to interactively tailor explanations to the (evolving) needs of explainees as well as to measure the effectiveness of the provided explanations in terms of enhancing user understanding. </div> <div style="text-align: justify; margin-top: 0px; margin-bottom: 1em; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> The MAI-XAI workshop focuses on improving effectiveness of explanations by moving to “natural” explanations that are more accessible to a non-technical audience. Natural explanations leverage multiple modalities (text, speech, visual, tabular, ...) to select the form of presentation of an explanation that most suits the context and the explanatory needs of an explainee. XAI systems providing natural explanations might react to affective aspects and emotions to e.g. identify dissatisfaction with an explanation and react accordingly. Finally, XAI systems should be able to effectively interact with the user to move from one-shot static explanations to dynamically adapted explanations that can be informed by the reactions or feedback of a user during the interaction. </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> We aim to offer researchers and practitioners the opportunity to identify new promising research directions on XAI along the above mentioned lines, focusing on how to provide “natural explanations”. Attendants are encouraged to present case studies in real-world applications where XAI has been successfully applied, emphasizing the practical benefits and challenges encountered. </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>The topics of interest include (but are not limited to):</b></div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Multimodal XAI</b> </div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> XAI for multi-modal data retrieval, collection, augmentation, generation, and validation</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> XAI for Human-Computer Interaction (HCI)</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Augmented reality for multi-modal XAI</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> XAI approaches leveraging application-specific domain knowledge</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Design and validation of multi-modal explainers</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Quantifying XAI: From defining metrics and methodologies to assessing the effectiveness of explanations in enhancing user understanding, reliance, and trust</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Large knowledge bases and graphs that can be used for multi-modal explanation generation</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Large language models and their generative power for multi-modal XAI</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Proof-of-concepts and demonstrators of how to integrate effective and efficient XAI into real-world human decision-making processes</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> Ethical, Legal, Socio-Economic and Cultural (ELSEC) considerations in XAI: Examining ethical implications surrounding the use of high-risk AI applications, including potential biases and the responsible deployment of sustainable “green” AI in sensitive domains </li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <br> <b>Affective XAI</b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> Explainable affective computing in healthcare, psychology, physiology, education, entertainment, and gaming</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Privacy, fairness, and ethical considerations in affective computing</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Multimodal (textual, visual, vocal, physiological) emotion recognition systems</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> User environments for the design of systems to better detect and classify affect</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Sentiment analysis and explainability</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Social robots and explainability</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Emotion-aware XAY Systems</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Accuracy and explainability in emotion recognition</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Machine learning using biometric data to classify biosignals</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Virtual reality in affective computing</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> Human–Computer Interaction (HCI) and Human in the Loop (HITL) approaches in affective computing</li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Interactive XAI</b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> Dialogue-based approaches to XAI</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Approaches to dynamically adapt explanations in interaction with a user</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> XAI approaches that use a model of the partner to adapt explanations</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> XAI approaches for collaborative decision-making between humans and AI models</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Methods to measure and evaluate the understanding of the users about a model</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Methods to measure and evaluate the ability to use models effectively in downstream tasks</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Interactive methods by which a system and a user can negotiate what is to be explained</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> Modelling the social functions and aspects of an explanation</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> Methods to identify users’ information and explainability needs</li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Papers submitted to ECAI that are under review for the conference cannot be submitted to the workshop. If rejected from ECAI, authors can submit a request for their paper to be considered for the workshop by July 18th to one of the emails from the Contact page.</b></div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> Accepted manuscripts will be published in CEUR Workshop Proceedings (<a href="http://ceur-ws.org/" target="_blank" id="OWA2f8a4005-65fc-0253-26c9-003fac9879f3" class="OWAAutoLink" title="http://ceur-ws.org/" rel="noopener noreferrer nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=http://ceur-ws.org/&source=gmail&ust=1747427095905000&usg=AOvVaw2p2Mz739e8483wgzFXLGcN">CEUR-WS.org</a>). Papers must be written in English, be prepared for double-blind review using the<a href="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw" target="_blank" id="OWAc40815c4-bbf3-c35d-e030-a7b112db8208" class="OWAAutoLink" title="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw" rel="noopener noreferrer nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw&source=gmail&ust=1747427095905000&usg=AOvVaw3WIcjidTIpibSHNR-xjscB"> CEUR-WS template</a>. </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>The following types of submissions are allowed:</b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> <b>Regular/Long Papers (10 - 15 pages): </b>describing<b> </b>novel and original technical contributions enhancing our understanding of multimodality, affectiveness and interaction in XAI. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> <b>Short Papers (5 - 9 pages): </b>describing work in progress, a case study, … </li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Submissions should be made through Easychair: </b> <b>(</b><a href="https://easychair.org/conferences/?conf=maixai25" target="_blank" id="OWA0f7b2e2b-d4f2-ea57-2cff-1f9f3ec962ae" class="OWAAutoLink" title="https://easychair.org/conferences/?conf=maixai25" rel="noopener noreferrer nofollow" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://easychair.org/conferences/?conf%3Dmaixai25&source=gmail&ust=1747427095905000&usg=AOvVaw1Vj-xtkyZD4mm1rUtZ4vTz">https://easychair.org/conferences/?conf=maixai25</a><b>).</b> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> Registering an abstract of your paper (of around 100-300 words in plain text) is mandatory in advance of the paper submission deadline and you will be asked to provide additional information (such as keywords) at that time. Please do not leave things to the very last moment; you can resubmit any number of times until the submission deadline.</div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> </div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> The workshop is planned as an <b>in-person event</b>. Each accepted paper will get assigned either an oral presentation slot or a combined poster/spotlight presentation slot.</div> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <br> <b>Important Dates:</b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> <b>Abstract registration:</b> May 15th, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Paper submission:</b> May 21th, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Acceptance/rejection notification:</b> July 24th, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Camera-ready paper submission:</b> September 11th, 2025</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> <b>Conference dates:</b> October 25-30, 2025 (The MAI-XAI 25 Workshop will take place from 25th - 26th of October, 2025)</li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Organizers:</b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> <b>Philipp Cimiano</b>, Bielefeld University, Germany</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Fosca Giannotti</b>, Scuola Normale Superiore, Pisa, Italy</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Tim Miller</b>, The University of Queensland, Australia</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Bárbara Hammer</b>, Bielefeld University, Germany</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Alejandro Catalá</b>, Universidade de Santiago de Compostela (USC), Spain</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 0px;"> <b>Peter Flach</b>, University of Bristol, UK</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> <b>Jose M. Alonso-Moral</b>, Universidade de Santiago de Compostela (USC), Spain</li></ul> <div style="margin: 0px; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" class="elementToProof"> <b>Contact Details: </b></div> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 12pt; margin-bottom: 0px;"> Jose M. Alonso-Moral,<span style="color: black;"><a href="https://citius.gal/es/team/jose-maria-alonso-moral" target="_blank" id="OWAf7b30878-25eb-5fc5-657a-4ee813de0ef3" class="OWAAutoLink" title="https://citius.gal/es/team/jose-maria-alonso-moral" rel="noopener noreferrer nofollow" style="color: black;" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://citius.gal/es/team/jose-maria-alonso-moral&source=gmail&ust=1747427095906000&usg=AOvVaw0iIHz0MW89ICbhMbIWUX6q"> </a></span><span style="color: rgb(16, 60, 192);"><a href="https://citius.gal/es/team/jose-maria-alonso-moral" target="_blank" id="OWAf3d768e2-75e4-d49a-7068-b667617458f0" class="OWAAutoLink" title="https://citius.gal/es/team/jose-maria-alonso-moral" rel="noopener noreferrer nofollow" style="color: rgb(16, 60, 192);" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://citius.gal/es/team/jose-maria-alonso-moral&source=gmail&ust=1747427095906000&usg=AOvVaw0iIHz0MW89ICbhMbIWUX6q">https://citius.gal/es/team/jose-maria-alonso-moral</a></span> </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-top: 0px; margin-bottom: 12pt;"> Philipp Cimiano,<span style="color: black;"><a href="https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN" target="_blank" id="OWA1cd711da-e1a0-a0b0-bdd0-467c27271e66" class="OWAAutoLink" title="https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN" rel="noopener noreferrer nofollow" style="color: black;" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId%3D15020699%26lang%3DEN&source=gmail&ust=1747427095906000&usg=AOvVaw3GPU9TmUnBDN-Iwj-3OlG7"> </a></span><span style="color: rgb(16, 60, 192);"><a href="https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN" target="_blank" id="OWAadf3306b-8727-8e01-f93d-58beaac2721c" class="OWAAutoLink" title="https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN" rel="noopener noreferrer nofollow" style="color: rgb(16, 60, 192);" data-saferedirecturl="https://www.google.com/url?hl=en-GB&q=https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId%3D15020699%26lang%3DEN&source=gmail&ust=1747427095906000&usg=AOvVaw3GPU9TmUnBDN-Iwj-3OlG7">https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN</a></span> </li></ul> <div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"> <br> </div> <div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"> <br> </div> <div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"> <br> </div> <div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"> <br> </div> </body> </html>