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<span class="CEURVOLNR">Vol-XXX</span> <br>
<span class="CEURURN">urn:nbn:de:0074-XXX-C</span>
<p class="unobtrusive copyright" style="text-align: justify">Copyright &copy; JJJJ for
the individual papers by the papers' authors.
Copyright &copy; <span class="CEURPUBYEAR">2025</span> for the volume as a collection by its editors.
This volume and its papers are published under the
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<h1><a href="https://aequitas-aod.github.io/aequitas-ecai25.github.io/index.html"><span class="CEURVOLACRONYM">AEQUITAS 2025</span></a><br>
<span class="CEURVOLTITLE">Fairness and Bias in AI</span></h1>
<br>

<h3>
<span class="CEURFULLTITLE">Proceedings of the 3rd Workshop on Fairness and Bias in AI </span><br>
co-located with 28th European Conference on Artificial Intelligence (<span class="CEURCOLOCATED">ECAI 2025</span>)<br>
</h3>
<h3><span class="CEURLOCTIME">Bologna, Italy, October 26th, 2025</span>.</h3>
<br>
<b> Edited by </b>
<p>

</p><h3>
   <a href="https://www.unibo.it/sitoweb/roberta.calegari"><span class="CEURVOLEDITOR">Roberta Calegari</span></a> *<br>
   <a href="https://payalarora.com"><span class="CEURVOLEDITOR">Payal Arora</span></a> **<br>
   <a href="https://www.umu.se/personal/virginia-dignum/"><span class="CEURVOLEDITOR">Virginia Dignum</span></a> ***<br>
</h3>

* <a href="https://www.unibo.it/en/homepage/">University of Bologna</a>,
  Department of Computer Science and Engineering, Bologna, Italy<br>
** <a href="https://www.uu.nl/en">Utrecht University</a>,
        Utrecht, Netherlands<br>
*** <a href="https://www.umu.se/en/">Umeå University</a>,
   Umeå, Sweden<br>
  <br>

<hr>

<br><br><br>

<div class="CEURTOC">
<h2> Table of Contents </h2>

<ul>

Summary: There were <span class="CEURSUBMITTEDPAPERS">27</span> papers submitted for peer-review to this workshop. Out of these,
<span class="CEURACCEPTEDPAPERS">14</span> papers were accepted for this volume,
<span class="CEURACCEPTEDREGULARPAPERS">14</span> as regular papers and
<span class="CEURACCEPTEDSHORTPAPERS">0</span> as short papers.

<BR>

<h3><span class="CEURSESSION">Papers</span></h3>
<ul>
<li id="paper1"><a href="paper1.pdf">
<span class="CEURTITLE">Modeling Fairness in Recruitment AI via Information Flow</span></a>
<br>
<span class="CEURAUTHOR">Mattias Brännström</span>,
<span class="CEURAUTHOR">Themis Dimitra Xanthopoulou</span>,
<span class="CEURAUTHOR">Lili Jiang</span>
</li>

<li id="paper2"><a href="paper2.pdf">
<span class="CEURTITLE">VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation</span></a>
<br>
<span class="CEURAUTHOR">Ioannis Sarridis</span>,
<span class="CEURAUTHOR">Christos Koutlis</span>,
<span class="CEURAUTHOR">Symeon Papadopoulos</span>,
<span class="CEURAUTHOR">Christos Diou</span>
</li>

<li id="paper3"><a href="paper3.pdf">
<span class="CEURTITLE">Transparency and Proportionality in Post-Processing Algorithmic Bias Correction</span></a>
<br>
<span class="CEURAUTHOR">Juliett Suárez-Ferreira</span>,
<span class="CEURAUTHOR">Marija Slavkovik</span>,
<span class="CEURAUTHOR">Jorge Casillas</span>
</li>

<li id="paper4"><a href="paper4.pdf">
<span class="CEURTITLE">Causal Synthetic Data Generation in Recruitment</span></a>
<br>
<span class="CEURAUTHOR">Andrea Iommi</span>,
<span class="CEURAUTHOR">Antonio Mastropietro</span>,
<span class="CEURAUTHOR">Riccardo Guidotti</span>,
<span class="CEURAUTHOR">Anna Monreale</span>,
<span class="CEURAUTHOR">Salvatore Ruggieri</span>
</li>

<li id="paper5"><a href="paper5.pdf">
<span class="CEURTITLE">A Fairness-Oriented Visual Extension for the PSyKE
Platform</span></a>
<br>
<span class="CEURAUTHOR">Federico Sabbatini</span>
</li>

<li id="paper6"><a href="paper6.pdf">
<span class="CEURTITLE">Is Reasoning All You Need? Probing Bias in the Age of
Reasoning Language Models</span></a>
<br>
<span class="CEURAUTHOR">Riccardo Cantini</span>,
<span class="CEURAUTHOR">Nicola Gabriele</span>,
<span class="CEURAUTHOR">Alessio Orsino</span>,
<span class="CEURAUTHOR">Domenico Talia</span>
</li>

<li id="paper7"><a href="paper7.pdf">
<span class="CEURTITLE">First Ask Then Act (FATA): A Community-Centered Inclusive Approach for Hate Speech Detection</span></a>
<br>
<span class="CEURAUTHOR">Chiara Ferrando</span>,
<span class="CEURAUTHOR">Lia Draetta</span>,
<span class="CEURAUTHOR">Andrea Marra</span>,
<span class="CEURAUTHOR">Angela Zottola</span>,
<span class="CEURAUTHOR">Cristina Bosco</span>,
<span class="CEURAUTHOR">Viviana Patti</span>
</li>

<li id="paper8"><a href="paper8.pdf">
<span class="CEURTITLE">How do doctors perceive AI in their medical practice?</span></a>
<br>
<span class="CEURAUTHOR">Laura Sartori</span>,
<span class="CEURAUTHOR">Chiara Binelli</span>,
<span class="CEURAUTHOR">Francesca Lizzi</span>,
<span class="CEURAUTHOR">Andrea Chincarini</span>,
<span class="CEURAUTHOR">Francesco Sensi</span>,
<span class="CEURAUTHOR">Alessandra Retico</span>
</li>

<li id="paper9"><a href="paper9.pdf">
<span class="CEURTITLE">On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models</span></a>
<br>
<span class="CEURAUTHOR">Alessandro Antonucci</span>,
<span class="CEURAUTHOR">Eric Rossetto</span>,
<span class="CEURAUTHOR">Ivan Duvnjak</span>
</li>

<li id="paper10"><a href="paper10.pdf">
<span class="CEURTITLE">Towards a Partial Coverage of Neural Network Explanations Using Approximation Networks</span></a>
<br>
<span class="CEURAUTHOR">Mathieu Brassart</span>,
<span class="CEURAUTHOR">Laurent Simon</span>
</li>

<li id="paper11"><a href="paper11.pdf">
<span class="CEURTITLE">Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space</span></a>
<br>
<span class="CEURAUTHOR">Sofoklis Kitharidis</span>,
<span class="CEURAUTHOR">Cor J. Veenman</span>,
<span class="CEURAUTHOR">Thomas Bäck</span>,
<span class="CEURAUTHOR">Niki van Stein</span>
</li>

<li id="paper12"><a href="paper12.pdf">
<span class="CEURTITLE">Evaluating and Mitigating Fairness Risks in Machine Learning under Structured Missing Data</span></a>
<br>
<span class="CEURAUTHOR">Tim Kochs</span>,
<span class="CEURAUTHOR">Andrea Castellani</span>,
<span class="CEURAUTHOR">Felix Lanfermann</span>,
<span class="CEURAUTHOR">Barbara Hammer</span>
</li>

<li id="paper13"><a href="paper13.pdf">
<span class="CEURTITLE">Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models</span></a>
<br>
<span class="CEURAUTHOR">Katharina Simbeck</span>,
<span class="CEURAUTHOR">Mariam Mahran</span>
</li>

<li id="paper14"><a href="paper14.pdf">
<span class="CEURTITLE">Bias Detection in Cultural Heritage Metadata: Preliminary Results from the IMAGES Project</span></a>
<br>
<span class="CEURAUTHOR">Angelo Oddi</span>,
<span class="CEURAUTHOR">Gianmauro Romagna</span>,
<span class="CEURAUTHOR">Riccardo Rasconi</span>,
<span class="CEURAUTHOR">Paola Panarese</span>,
<span class="CEURAUTHOR">Paolo De Gasperis</span>
</li>

</ul>


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<span class="unobtrusive">
2025-12-22: submitted by Roberta Calegari,
            metadata incl. bibliographic data published under <A HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
<span class="CEURPUBDATE">yyyy-mm-dd</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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