EWAF24 2024
European Workshop on Algorithmic Fairness

Table of Contents

• Preface
  Mattia Cerrato, Alesia Vallenas Coronel, Michele Loi, Mykola Pechenizkiy, Aurelia Tamò-Larrieux
  
• Can Generative Ai-based Data Balancing Mitigate Unfairness Issues in Machine Learning?
  Benoît Ronval, Siegfried Nijssen, Ludwig Bothmann
  
• Governing Online Platforms After the Digital Services Act: an Analysis of the Commission Decision on Initiating Proceedings Against X
  Matteo Fabbri
  
• Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence
  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, Salvatore Ruggieri
  
• Enhancing Fairness Through Time-aware Recourse: a Pathway to Realistic Algorithmic Recommendations
  Isacco Beretta, Martina Cinquini, Isabel Valera
  
• When the Ideal Does Not Compute: Nonideal Theory and Fairness in Machine Learning
  Otto Sahlgren
  
• Beyond Silos: an Interdisciplinary Analysis of Intersectional Discrimination From an Eu Perspective
  Stephan Wolters
  
• A Fair Selective Classifier to Put Humans in the Loop
  Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti, Dino Pedreschi
  
• Fairness Beyond Binary Decisions: a Case Study on German Credit
  Deborah Dormah Kanubala, Isabel Valera, Kavya Gupta
  
• Watching the Watchers: a Comparative Fairness Audit of Cloud-based Content Moderation Services
  David Hartmann, Amin Oueslati, Dimitri Staufer
  
• Challenging "subgroup Fairness": Towards Intersectional Algorithmic Fairness Based on Personas
  Marie Decker, Laila Wegner, Carmen Leicht-Scholten
  
• Mapping Policymakers' and Laypeople's Perceptions of Genai and Fpt
  Chiara Ullstein, Michel Hohendanner, Jens Grossklags
  
• Measurement Modeling of Predictors and Outcomes in Algorithmic Fairness
  Elisabeth Kraus, Christoph Kern
  
• Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment?
  Clara Strasser Ceballos, Christoph Kern
  
• How to Be Fair? a Discussion and Future Perspectives
  Marco Favier, Toon Calders
  
• Building Job Seekers’ Profiles: Can Llms Level the Playing Field?
  Susana Lavado, Leid Zejnilovic
  
• Fairret: a Flexible Pytorch Library for Fairness
  Marybeth Defrance, Maarten Buyl, Tijl De Bie
  
• Fair Balancing? Evaluating Llm-based Privacy Policy Ethics Assessments
  Vincent Freiberger, Erik Buchmann
  
• Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets
  Jan Simson, Alessandro Fabris, Christoph Kern
  
• Beyond Distributions: a Systematic Review on Relational Algorithmic Justice
  Laila Wegner, Marie Decker, Carmen Leicht-Scholten
  
• Pricing Risk: Analysis of Irish Car Insurance Premiums
  Adrian Byrne
  
• 20% Increase in Fairness for Black Applicants": a Critical Examination of Fairness Measurements Offered by Startups
  Corinna Hertweck, Maya Guido
  
• Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle
  Luca Deck, Astrid Schoemäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
  
• Implications of the Ai Act for Non-discrimination Law and Algorithmic Fairness
  Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Kühl Niklas
  
• Integrating Fairness in Ai Development: Technical Insights From the Fair by Design Framework
  Mira Reisinger, Rania Wazir
  
• Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
  Joachim Baumann, Celestine Mendler-Dünner
  
• Fairness in Graph-theoretical Optimization Problems
  Christopher Hojny, Frits Spieksma, Sten Wessel
  
• It Is Not About Bias But Discrimination
  Chaewon Yun, Claudia Wagner, Jan-Christoph Heilinger
  
• Exploration of Potential New Benchmark for Fairness Evaluation in Europe
  Magali Legast, Lisa Koutsoviti Koumeri, Yasaman Yousefi, Axel Legay
  
• Eliciting Discrimination Risks in Algorithmic Systems: Taxonomies and Recommendations
  Marta Marchiori Manerba
  
• Enabling Users’ Control on Recommender Systems for Short Videos: a Design Proposal for the Implementation of the Requirements of the Digital Services Act
  Matteo Fabbri, Jingyi Jia, Wolfgang Woerndl
  
• Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities
  Daniel Anadria, Anastasia Giachanou, Jacqueline Kernahan, Roel Dobbe, Daniel Oberski
  
• Trust in Fair Algorithms: Pilot Experiment
  Mattia Cerrato, Marius Köppel, Kiara Stempel, Alesia Vallenas Coronel, Niklas Witzig
  
• Identifying Gender Stereotypes and Biases in Automated Translation From English to Italian Using Similarity Networks
  Fatemeh Mohammadi, Marta Anamaria Tamborini, Paolo Ceravolo, Costanza Nardocci, Samira Maghool
  
• Algorithmic Fairness in Geo-intelligence Workflows Through Causality
  Brian Masinde, Caroline Gevaert, Michael Nagenborg, Marc van den Homberg, Jaap Zevenbergen
  
• Threshold Recourse for Dynamic Allocations
  Meirav Segal, Anne-Marie George, Christos Dimitrakakis
  
• On Prediction-modelers and Decision-makers: Why Fairness Requires More Than a Fair Prediction Model
  Teresa Scantamburlo, Joachim Baumann, Christoph Heitz
  
• Risky Complaints: Unpacking Recent Trends in Risk Assessment Across Global Supply Chains
  Gabriel Grill
  
• Categorizing Algorithmic Recommendations: a Matter of System, Agent, Patient
  Matteo Fabbri, Jesus Salgado
  
• Proxy Fairness Under the Gdpr and the Ai Act: a Perspective of Sensitivity and Necessity
  Ioanna Papageorgiou
  
• Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb
  Swati Swati, Arjun Roy, Eirini Ntoutsi