EWAF 2023
European Workshop on Algorithmic Fairness

Table of Contents

• Preface
  Jose M. Alvarez , Alessandro Fabris , Christoph Heitz , Corinna Hertweck , Michele Loi , Meike Zehlike
  

Computer Science Track

• Approximate Inference for the Bayesian Fairness Framework
  Andreas Nikolaos Athanasopoulos , Amanda Belfrage , David Berg Marklund , Christos Dimitrakakis
  
• An Open-Source Toolkit to Generate Biased Datasets
  Joachim Baumann , Alessandro Castelnovo , Riccardo Crupi , Nicole Inverardi , Daniele Regoli
  
• Fair Machine Learning Through Post-processing: The Case of Predictive Parity
  Joachim Baumann , Anikó Hannák , Christoph Heitz
  
• Provable Fairness for Neural Network Models Using Formal Verification
  Giorgian Borca-Tasciuc , Xingzhi Guo , Stanley Bak , Steven Skiena
  
• Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms
  Adrian Byrne , Ivan Caffrey , Quan Le
  
• The Case for Correctability in Fair Machine Learning
  Mattia Cerrato , Alesia Vallenas Coronel , Marius Köppel
  
• A Search Engine for Algorithmic Fairness Datasets
  Alessandro Fabris , Fabio Giachelle , Alberto Piva , Gianmaria Silvello , Gian Antonio Susto
  
• Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy
  Siamak Ghodsi , Eirini Ntoutsi
  
• Explainability Methods to Detect and Measure Discrimination in Machine Learning Models
  Sofie Goethals , David Martens , Toon Calders
  
• Model-Agnostic Auditing: A Lost Cause?
  Sakina Hansen , Joshua Loftus
  
• FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit
  Corinna Hertweck , Joachim Baumann , Michele Loi , Christoph Heitz
  
• Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning?
  Fanny Jourdan , Ronan Pons , Nicholas Asher , Jean-Michel Loubes , Laurent Risser
  
• Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?
  Fanny Jourdan , Titon Tshiongo-Kaninku , Nicholas Asher , Jean-Michel Loubes , Laurent Risser
  
• Arbitrary Decisions Are a Hidden Cost of Differentially Private Training
  Bogdan Kulynych , Hsiang Hsu , Carmela Troncoso , Flavio Calmon
  
• It's About Time: Counterfactual Fairness and Temporal Depth
  Joshua Loftus
  
• Body Measurement Prediction Fairness
  Alex Loosley , Amrollah Seifoddini , Alessandro Canopoli , Meike Zehlike
  
• Closing the Loop: Feedback Loops and Biases in Automated Decision-Making
  Nicolò Pagan , Joachim Baumann , Ezzat Elokda , Giulia De Pasquale , Saverio Bolognani , Anikó Hannák
  
• Pagerank Fairness in Networks
  Evaggelia Pitoura
  
• Fairness and Diversity in Information Access Systems
  Lorenzo Porcaro , Carlos Castillo , Emilia Gómez , João Vinagre
  
• Formally Verified Algorithmic Fairness Using Information-Flow Tools
  Samuel Teuber , Bernhard Beckert
  
• How Differential Robustness Creates Disparate Impact: A European Case Study
  Charles Wan , Leid Zejnilović , Susana Lavado
  

Philosophy Track

• Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making
  Joachim Baumann , Corinna Hertweck , Michele Loi , Christoph Heitz
  
• A Causal Analysis of Harm
  Sander Beckers , Hana Chockler , Joseph Y. Halpern
  
• How Data Quality Determines AI Fairness: The Case of Automated Interviewing
  Lou Therese Brandner , Philipp Mahlow , Anna Wilken , Annika Wölke , Hazar Harmouch , Simon David Hirsbrunner
  
• Classification Parity, Causal Equal Protection and Algorithmic Fairness
  Marcello Di Bello , Nicolo Cangiotti , Michele Loi
  
• Social Influence for Societal Interest: A Pro-Ethical Framework for Improving Human Decision-Making Through Multi-Stakeholder Recommender Systems
  Matteo Fabbri
  
• Through the Sands of Time: A Reliabilistic Account of Justified Credence in the Trustworthiness of AI Systems
  Andrea Ferrario
  
• Qualification and Quantification of Fairness for Sustainable Mobility Policies
  Camilla Quaresmini , Eugenia Villa , Valentina Breschi , Viola Schiaffonati , Mara Tanelli
  
• Using Fairness Metrics as Decision-Making Procedures: Algorithmic Fairness and the Problem of Action-Guidance
  Otto Sahlgren
  
• A 'Little Ethics' for Algorithmic Decision-Making
  Teresa Scantamburlo , Giovanni Grandi
  
• A Multidomain Relational Framework to Guide Institutional AI Research and Adoption
  Vincent Straub , Deborah Morgan , Youmna Hashem , John Francis , Saba Esnaashari , Jonathan Bright
  
• Complex Equality and Algorithmic Fairness: A Social Goods Approach to Make Statistical Fairness Metrics Less Abstract
  Bauke Wielinga
  
• Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning
  Sebastian Zezulka
  

Social Sciences Track

• Ethnic Classifications in Algorithmic Decision-Making Processes
  Sofia Jaime , Christoph Kern
  
• When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes
  Christoph Kern , Ruben Bach , Hannah Mautner , Frauke Kreuter
  
• Artificial Intelligence in Higher Education: Ethical Concerns for Students With Disabilities
  Oriane Pierrès , Alireza Darvishy , Markus Christen
  
• What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
  Jan Simson , Florian Pfisterer , Christoph Kern
  
• Careful Explanations: A Feminist Perspective on XAI
  Laura State , Miriam Fahimi
  
• A Reflection on How Cross-Cultural Perspectives on the Ethics of Facial Analysis AI Can Inform EU Policymaking
  Chiara Ullstein , Severin Engelmann , Orestis Papakyriakopoulos , Jens Grossklags
  

Law & Policy Track

• Algorithmic Bias in the Context of European Union Anti-Discrimination Directives
  Ahmet Bilal Aytekin
  
• Living with Opaque Technologies: Insights for AI from Digital Simulations
  Eugenia Cacciatori , Enzo Fenoglio , Emre Kazim
  
• Improving Fairness and Cybersecurity in the Artificial Intelligence Act
  Gabriele Carovano , Alexander Meinke
  
• From Digital Nudging to Users' Self-Determination: Explainability as a Framework for the Effective Implementation of the Transparency Requirements for Recommender Systems Set by the Digital Services Act of the European Union
  Matteo Fabbri
  
• Addressing Automation Bias through Verifiability
  Lukas Hondrich , Hannah Ruschemeier
  
• Fairness in Machine Learning as 'Algorithmic Positive Action'
  Jan-Laurin Müller
  
• Mitigating Diversity Biases of AI in the Labor Market
  Carlotta Rigotti , Alexandre Puttick , Eduard Fosch-Villaronga , Mascha Kurpicz-Briki
  
• Certification Labels for Trustworthy AI
  Nicolas Scharowski , Michaela Benk , Swen Kühne , Léane Wettstein , Florian Brühlmann
  
• The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods
  Laura State , Alejandra Bringas Colmenarejo , Andrea Beretta , Salvatore Ruggieri , Franco Turini , Stephanie Law
  
• Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law
  Hilde Weerts , Raphaële Xenidis , Fabien Tarissan , Henrik Palmer Olsen , Mykola Pechenizkiy
  
• Assessing the Legality of Using the Category of Race and Ethnicity in Clinical Algorithms - the EU Anti-Discrimination Law Perspective
  Malwina Anna Wojcik
  
• Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study
  Yasaman Yousefi , Lisa Koutsoviti-Koumeri , Magali Legast , Christoph Schommer , Koen Vanhoof , Axel Legay