Table of Contents

• Fourth European Workshop on Algorithmic Fairness (EWAF'25)Hilde J. P. Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Corrêa, Thomas Grote, Cynthia Liem. 1-9 [doi]
• Equality insights in the development of fairer high-risk AI systems and the control of its discriminatory impactsAnna Capella i Ricart. 10-26 [doi]
• Harmful Impacts of ML: Empirically Triangulating the Concerns and Practices of DevelopersAgathe Balayn, Ujwal Gadiraju. 27-63 [doi]
• What is Fairness? On Protected Attributes and Fictitious WorldsLudwig Bothmann, Kristina Peters, Bernd Bischl. 64-91 [doi]
• Overcoming Fairness Trade-offs via Pre-processing: A Causal PerspectiveCharlotte Leininger, Simon Rittel, Ludwig Bothmann. 92-115 [doi]
• The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy makingCamilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli. 116-134 [doi]
• Uncovering Areas for AI Governance Tools Refinement through Real-World Use Case Analysis from Canada, Chile and SingaporeKate Kaye. 135-151 [doi]
• Move forward or break ranks: Workshopping re-idealized explanation obligations to foster fundamental change and resistance to oppressionAviva de Groot. 152-170 [doi]
• Medicine After Death: XAI and Algorithmic Fairness Under Label BiasOlalekan Joseph Akintande, Siavash Arjomand Bigdeli, Aasa Feragen. 171-186 [doi]
• Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and BiasPatrick Oliver Schenk, Christoph Kern 0001, Trent Buskirk. 187-211 [doi]
• Detecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language ModelsSteven Vethman, Ajaya Adhikari, Eliza Hobo, Maaike de Boer, Joost A. G. M. van Genabeek, Cor J. Veenman. 212-231 [doi]
• Exposing Hidden Vulnerabilities: A privacy audit of algorithmic fairnessNiloy Purkait, Henry Brighton, Emmanuel Keuleers. 232-250 [doi]
• A Five-Phase Framework for Fair Insurance: Reviewing Strategies for Digital Price DifferentiationRijk Mercuur, Sieuwert van Otterloo, Huib Aldewereld. 251-264 [doi]
• Reclaiming Human Rights for Platform Governance: Proposals for Restoring Their Centrality in the Era of RisksAgustina Del Campo, Nicolás Zara, Ramiro Alvarez-Ugarte. 265-280 [doi]
• Uncertainty as a Primary Barrier for Trustworthy AI Under the EU AI Act: German SME PerspectivesSimon Jarvers, Chiara Ullstein, Jens Grossklags. 281-287 [doi]
• Investigating fair data acquisition for risk prediction in resource-constrained settingsIoanna Thoma, Elisabeth Abhayaratna, Matthew Sperrin, Karla Diaz-Ordaz, Ricardo Silva, Brieuc Lehmann. 288-294 [doi]
• Beyond Fairness: Trans Unliveability in European Algorithmic AssemblagesChristoffer Koch Andersen. 295-302 [doi]
• Towards a system-theoretic approach to algorithmic (un)fairnessEva de Winkel, Jacqueline Kernahan, Roel Dobbe. 303-309 [doi]
• Standardising Equality in the Algorithmic Society? A Research AgendaRaphaële Xenidis, Miriam Fahimi. 310-314 [doi]
• We Need to Talk About Self-Fulfilling PredictionsDonal Khosrowi, Markus Ahlers, Philippe van Basshuysen. 315-321 [doi]
• Stochastic Fairness Interventions Are ArbitraryMattia Cerrato, Marius Köppel, Kiara Stempel, Philipp Wolf, Stefan Kramer 0001. 322-328 [doi]
• Influence of Label and Selection Bias on Fairness InterventionsMagali Legast, Toon Calders, Francois Fouss. 329-334 [doi]
• From Implicit to Explicit Assumptions: Why There is No Fairness Without Bias-AwarenessMarco Favier, Toon Calders. 335-338 [doi]
• Algorithmic Fairness over the Years - A Scoping Review of Research in Computer Science and LawAnne Oloo, Daphne Lenders. 339-343 [doi]
• LLMs' Pluralistic CompatibilitySeverin Engelmann, Rajiv Movva. 344-350 [doi]
• Toward developing a Social Impact Assessment for AI in the public sector (SIA4AI) framework: key design considerationsSamaneh Bagheri, Vanessa Dirksen. 351-356 [doi]
• Facial Demography Analysis of the LAION DatasetIris Dominguez-Catena, Daniel Paternain, Mikel Galar. 357-361 [doi]
• Situating and Understanding Machine Unlearning, EthicallyIqra Aslam. 362-368 [doi]
• Fake Transparency: When Mobile Apps Say One Thing but Do AnotherAlejandro Pérez-Fuente, Pablo A. Criado-Lozano, M. Mercedes Martínez-González. 369-375 [doi]
• Ethical Implications of Mental Health Chatbots: Addressing Anthropomorphism, Deception, and Regulatory GapsThomas Leis. 376-382 [doi]
• ABCFair: an Adaptable Benchmark approach for Comparing Fairness methodsMaryBeth Defrance, Maarten Buyl, Tijl De Bie. 383-388 [doi]
• Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens' Perspectives Across Six CountriesChiara Ullstein, Michel Hohendanner, Jens Grossklags. 389-395 [doi]
• Bias in Intent Detection: A Dynamical Systems PerspectiveEduardo Sánchez-Karhunen, Jose F. Quesada-Moreno, Miguel A. Gutiérrez-Naranjo. 396-402 [doi]
• Invisible Inequalities - Intersectional Fairness in Educational AIMarie Mirsch, Jonas Strube, Carmen Leicht-Scholten. 403-409 [doi]
• Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment DomainDominik Kowald. 410-416 [doi]
• Evaluating Gender Bias in Large Language Models in Academic Knowledge ProductionJudit Herman, Kira Diana Kovacs, Yaije Wang, Orsolya Vasarhelyi. 417-422 [doi]
• The social construction of algorithms and the limits of algorithmic transparencyHeiner Heiland, Matthias Sommer. 423-427 [doi]
• Re-evaluating the role of refugee integration factors for building more equitable allocation algorithmsClara Strasser Ceballos, Marcus Novotny, Christoph Kern 0001. 428-433 [doi]
• A Benchmark for Client-level Fairness in Federated LearningXenia Heilmann, Luca Corbucci, Mattia Cerrato. 434-438 [doi]
• Model-based Algorithmic Auditing of Social Media AI AlgorithmsIvan Srba, Branislav Pecher, Jakub Simko, Róbert Móro, Mária Bieliková. 439-445 [doi]
• Towards Trustworthy Multi-stakeholder Recommender SystemsKatarína Marcinucinová, Adrian Gavornik, Matúus Mesarucík, Michal Kompan. 446-451 [doi]
• Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online PlatformsMegan Nyhan, Susan Leavy, Pranav Narula, Kevin Doherty, Barry O'Sullivan, Ruihai Dong, Izzy Fox, Josephine Griffith. 452-456 [doi]
• Exclusion or Efficiency: Understanding Perspectives about AI Ethics Among Charity Workers in the United KingdomSakina Hansen. 457-473 [doi]
• When Algorithms Play Favorites: Lookism in the Generation and Perception of FacesMiriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver. 474-480 [doi]
• How is the Socio-Demographic Background of Researchers in AI & ML Related to the Values reflected in their Research?Paula Nauta, Fariba Karimi 0001, Ana María Jaramillo. 481-486 [doi]
• A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee MatchingChristoph Kern 0001, Jakob Kappenberger, Frederic Gerdon, Clara Strasser Ceballos, Daria Szafran, Florian Rupp, Ruben L. Bach. 487-491 [doi]
• AI Certification and Assessment Catalogues: Practical Use and Challenges in the Context of the European AI ActGregor Autischer, Kerstin Waxnegger, Dominik Kowald. 492-498 [doi]
• Can AI Help Reduce Human Bias? Insights from Police Rearrest PredictionsYong Suk Lee. 499-504 [doi]
• Individual Fairness in Algorithmic HiringStavros Davidopoulos, Panagiotis Symeonidis, Dimitris Sacharidis. 505-510 [doi]