<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://proceedings.mlr.press/v350/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v350/" rel="alternate" type="text/html" /><updated>2026-10-04T21:29:40+00:00</updated><id>https://proceedings.mlr.press/v350/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of Fifth European Conference on Algorithmic Fairness
  Held in Ghent University, Ghent, Belgium on 02-04 September 2026

Published as Volume 350 by the Proceedings of Machine Learning Research on 30 September 2026.

Volume Edited by:
  Tijl De Bie
  MaryBeth Defrance
  Toon Calders
  Dennis Nguyen

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Sequential Hypothesis Testing for Black-Box Fairness Audits</title><link href="https://proceedings.mlr.press/v350/anaya-quesada26a.html" rel="alternate" type="text/html" title="Sequential Hypothesis Testing for Black-Box Fairness Audits" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/anaya-quesada26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/anaya-quesada26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Martín&quot;, &quot;family&quot;=&gt;&quot;Anaya-Quesada&quot;}, {&quot;given&quot;=&gt;&quot;Marios&quot;, &quot;family&quot;=&gt;&quot;Kountouris&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">It Takes So Little to Change So Much: Investigating the Robustness of a Danish Voting Advice Algorithm</title><link href="https://proceedings.mlr.press/v350/astante26a.html" rel="alternate" type="text/html" title="It Takes So Little to Change So Much: Investigating the Robustness of a Danish Voting Advice Algorithm" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/astante26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/astante26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Giovanni&quot;, &quot;family&quot;=&gt;&quot;Astante&quot;}, {&quot;given&quot;=&gt;&quot;Roberta&quot;, &quot;family&quot;=&gt;&quot;Sinatra&quot;}, {&quot;given&quot;=&gt;&quot;Vedran&quot;, &quot;family&quot;=&gt;&quot;Sekara&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Towards EU AI Act Compliance: Self-Certification and Fairness Alignment for Facial Emotion Recognition</title><link href="https://proceedings.mlr.press/v350/autischer26a.html" rel="alternate" type="text/html" title="Towards EU AI Act Compliance: Self-Certification and Fairness Alignment for Facial Emotion Recognition" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/autischer26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/autischer26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Gregor&quot;, &quot;family&quot;=&gt;&quot;Autischer&quot;}, {&quot;given&quot;=&gt;&quot;Kerstin&quot;, &quot;family&quot;=&gt;&quot;Waxnegger&quot;}, {&quot;given&quot;=&gt;&quot;Dominik&quot;, &quot;family&quot;=&gt;&quot;Kowald&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">From Algorithmic Fairness to Evidentiary Reliability: Judicial Analytics under Article 6 ECHR</title><link href="https://proceedings.mlr.press/v350/banerjee26a.html" rel="alternate" type="text/html" title="From Algorithmic Fairness to Evidentiary Reliability: Judicial Analytics under Article 6 ECHR" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/banerjee26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/banerjee26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Arjun Bhubaneshwar&quot;, &quot;family&quot;=&gt;&quot;Banerjee&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">FairMind: A Tool for Automatic Causal Fairness Analysis with LLM-Generated Reports</title><link href="https://proceedings.mlr.press/v350/berarducci26a.html" rel="alternate" type="text/html" title="FairMind: A Tool for Automatic Causal Fairness Analysis with LLM-Generated Reports" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/berarducci26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/berarducci26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Alessia&quot;, &quot;family&quot;=&gt;&quot;Berarducci&quot;}, {&quot;given&quot;=&gt;&quot;Eric&quot;, &quot;family&quot;=&gt;&quot;Rossetto&quot;}, {&quot;given&quot;=&gt;&quot;Alessandro&quot;, &quot;family&quot;=&gt;&quot;Antonucci&quot;}, {&quot;given&quot;=&gt;&quot;Marco&quot;, &quot;family&quot;=&gt;&quot;Zaffalon&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">From Relevance to Reward: A Pipeline View of Addictive Design in Recommender Systems under the DSA</title><link href="https://proceedings.mlr.press/v350/boratto26a.html" rel="alternate" type="text/html" title="From Relevance to Reward: A Pipeline View of Addictive Design in Recommender Systems under the DSA" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/boratto26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/boratto26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Ludovico&quot;, &quot;family&quot;=&gt;&quot;Boratto&quot;}, {&quot;given&quot;=&gt;&quot;Silvia&quot;, &quot;family&quot;=&gt;&quot;De Conca&quot;}, {&quot;given&quot;=&gt;&quot;Matteo&quot;, &quot;family&quot;=&gt;&quot;Fabbri&quot;}, {&quot;given&quot;=&gt;&quot;Alessandro&quot;, &quot;family&quot;=&gt;&quot;Fabris&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Understanding Fairness in AI Business Applications: A Case Study on AI Job Interviewing Platforms</title><link href="https://proceedings.mlr.press/v350/brandner26a.html" rel="alternate" type="text/html" title="Understanding Fairness in AI Business Applications: A Case Study on AI Job Interviewing Platforms" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/brandner26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/brandner26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Lou Therese&quot;, &quot;family&quot;=&gt;&quot;Brandner&quot;}, {&quot;given&quot;=&gt;&quot;Lisa&quot;, &quot;family&quot;=&gt;&quot;Koeritz&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">AI Tools in Algorithmic Management: Early Insights from Germany and Challenges for a fair and co-determined Design</title><link href="https://proceedings.mlr.press/v350/brenzke26a.html" rel="alternate" type="text/html" title="AI Tools in Algorithmic Management: Early Insights from Germany and Challenges for a fair and co-determined Design" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/brenzke26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/brenzke26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Martin&quot;, &quot;family&quot;=&gt;&quot;Brenzke&quot;}, {&quot;given&quot;=&gt;&quot;Thea&quot;, &quot;family&quot;=&gt;&quot;Radüntz&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Who Gets the Better Story? An Exploration of Fairness in Explainable AI Narratives for Credit Scoring</title><link href="https://proceedings.mlr.press/v350/bulck26a.html" rel="alternate" type="text/html" title="Who Gets the Better Story? An Exploration of Fairness in Explainable AI Narratives for Credit Scoring" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/bulck26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/bulck26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Wannes&quot;, &quot;family&quot;=&gt;&quot;Bulck&quot;, &quot;prefix&quot;=&gt;&quot;Van den&quot;}, {&quot;given&quot;=&gt;&quot;Sofie&quot;, &quot;family&quot;=&gt;&quot;Goethals&quot;}, {&quot;given&quot;=&gt;&quot;David&quot;, &quot;family&quot;=&gt;&quot;Martens&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Fifth European Conference on Algorithmic Fairness (ECAF’26)</title><link href="https://proceedings.mlr.press/v350/de-bie26a.html" rel="alternate" type="text/html" title="Fifth European Conference on Algorithmic Fairness (ECAF’26)" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v350/de-bie26a</id><content type="html" xml:base="https://proceedings.mlr.press/v350/de-bie26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Tijl&quot;, &quot;family&quot;=&gt;&quot;De Bie&quot;}, {&quot;given&quot;=&gt;&quot;MaryBeth&quot;, &quot;family&quot;=&gt;&quot;Defrance&quot;}, {&quot;given&quot;=&gt;&quot;Toon&quot;, &quot;family&quot;=&gt;&quot;Calders&quot;}, {&quot;given&quot;=&gt;&quot;Dennis&quot;, &quot;family&quot;=&gt;&quot;Nguyen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>