Accepted Papers

Miriam Rateike

Algorithmic Fairness Over Time: Advances & Prospects

Benoît Ronval, Siegfried Nijssen and Ludwig Bothmann

Can generative AI-based data balancing mitigate unfairness issues in Machine Learning?

Fernanda Odilla

Unfairness in AI anti-corruption tools: Main drivers and consequences

Marco Tulio Daza Ramirez

An analysis of Facebook's privacy practices through the lens of compliance, integrity, and excellence

Matteo Fabbri

Governing online platforms after the Digital Services Act: an analysis of the Commission decision on initiating proceedings against X

Jose M. Alvarez, Alejandra Bringas-Colmenarejo, Alaa Elobaid, Simone Fabrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero, Russo Mayra, Kristen M. Scott, Laura State, Xuan Zhao and Salvatore Ruggieri

Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence

Isacco Beretta, Martina Cinquini and Isabel Valera

Enhancing Fairness through Time-Aware Recourse: A Pathway to Realistic Algorithmic Recommendations

Otto Sahlgren

When the Ideal Does Not Compute: Nonideal Theory and Fairness in Machine Learning

Stephan Wolters

Beyond Silos: An Interdisciplinary Analysis of Intersectional Discrimination from an EU Perspective

Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti and Dino Pedreschi

A Fair Selective Classifier to Put Humans in the Loop

Deborah Dormah Kanubala, Isabel Valera and Kavya Gupta

Fairness Beyond Binary Decisions: A Case Study on German Credit

David Hartmann, Amin Oueslati and Dimitri Staufer

Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services

Marie Decker, Laila Wegner and Carmen Leicht-Scholten

Challenging "Subgroup Fairness": Towards Intersectional Algorithmic Fairness Based on Personas

Chiara Ullstein, Michel Hohendanner and Jens Grossklags

Mapping Policymakers' and Laypeople's Perceptions of genAI and FPT in the Context of the EU AI Act

Elisabeth Kraus and Christoph Kern

Measurement Modeling for Algorithmic Fairness: Opportunities and Pitfalls

Clara Strasser Ceballos and Christoph Kern

Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment?

Marco Favier and Toon Calders

How to be fair? A discussion and future perspectives

Susana Lavado and Leid Zejnilovic

Building job seekers’ profiles: can LLM’s level the playing field?

Marybeth Defrance, Maarten Buyl and Tijl De Bie

FAIRRET: A flexible PyTorch library for fairness

Vincent Freiberger and Erik Buchmann

Fair Balancing? Evaluating LLM-based Privacy Policy Ethics Assessments

Jan Simson, Alessandro Fabris and Christoph Kern

Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets

Laila Wegner, Marie Decker and Carmen Leicht-Scholten

Beyond Distributions: A Systematic Review on Relational Algorithmic Justice

Maarten Buyl and Tijl De Bie

Inherent Limitations of AI Fairness

Adrian Byrne

Pricing Risk: Analysis of Irish Car Insurance Premiums

Corinna Hertweck and Maya Guido

"20% Increase in Fairness for Black Applicants": A Critical Examination of Fairness Measurements Offered by Startups

Luca Deck, Astrid Schoemäcker, Timo Speith, Jakob Schöffer, Lena Kästner and Niklas Kühl

Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle

Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling and Kühl Niklas

Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness

Mira Reisinger and Rania Wazir

Integrating Fairness in AI Development: Technical Insights from the fAIr by design Framework

Joachim Baumann and Celestine Mendler-Dünner

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists

Christopher Hojny, Frits Spieksma and Sten Wessel

Fairness in Graph-Theoretical Optimization Problems

Chaewon Yun, Claudia Wagner and Jan-Christoph Heilinger

It is not about Bias but Discrimination

Magali Legast, Lisa Koutsoviti Koumeri, Yasaman Yousefi and Axel Legay

Exploration of potential new benchmark for fairness evaluation in Europe

Marta Marchiori Manerba

Eliciting Discrimination Risks in Algorithmic Systems: From Taxonomies to Recommendations

Sebastian Zezulka and Konstantin Genin

Risk Scores as Statistical Fatalism

Daniel Anadria, Anastasia Giachanou, Jacqueline Kernahan, Roel Dobbe and Daniel Oberski

Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities

Mattia Cerrato, Marius Köppel, Kiara Stempel, Alesia Vallenas Coronel and Niklas Witzig

Trust in Fair Algorithms: Pilot Experiment

Fatemeh Mohammadi, Marta Anamaria Tamborini, Paolo Ceravolo, Costanza Nardocci and Samira Maghool

Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks

Brian Masinde, Caroline Gevaert, Michael Nagenborg, Marc van den Homberg and Jaap Zevenbergen

Algorithmic Fairness in Geo-intelligence Workflows through Causality

Meirav Segal, Anne-Marie George and Christos Dimitrakakis

Threshold Recourse for Dynamic Allocations

Teresa Scantamburlo, Joachim Baumann and Christoph Heitz

On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model

Gabriel Grill

Risky Complaints: Unpacking recent trends in risk assessment across global supply chains

Matteo Fabbri and Jesus Salgado

Categorizing algorithmic recommendations: a matter of system, agent, patient

Ioanna Papageorgiou

Proxy Fairness under GDPR and AI Act: A Perspective1 of Sensitivity and Necessity

Swati Swati, Arjun Roy and Eirini Ntoutsi

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb