The contributions to EWAF'24 mainly address the following topics: Empirical and theoretical perspectives from social sciences on fairness and discrimination in Europe (e.g., analysis of labor markets, the concept of class or race, discrimination against minorities in different social contexts). Case studies based on concrete European instances of algorithmic design and regulation that machine learning scholars have encountered in their own work (e.g., datasets or audits of automated decision-making systems that are used in Europe). Analysis of the implications of the European legislative framework for the debate on fairness in machine learning and AI more broadly (e.g., specificities connected to anti-discrimination and data collection legislation and the emerging regulatory frameworks for platforms and AI). Philosophy (e.g., values embedded in distributive and procedural fairness, foundations of ethical AI, critical studies on AI) Social Sciences (e.g., AI-based social assessment technologies, historical perspectives on discrimination, impact of algorithms on marginalized groups, perceptions of (un)fairness, AI and labor, digital governance, management and fairness) Policy and Law (e.g., non-discrimination law, data protection law and data governance, impact assessments, accountability measures, sensitive application areas of AI (e.g., the judiciary, government, law enforcement), global regulatory developments) We received 65 submissions of original papers presenting novel research results as well as extended abstracts containing descriptions of ongoing projects or summarizing already published results. The Program Committee (PC) was divided into four areas, i.e. Computer Science, Law and Policy, Philosophy, and Social Sciences. Each submission was reviewed by at least two PC members and one Area Chair. The reviewers evaluated each paper in terms of novelty, technical quality, clarity of presentation, potential impact, and European specificity. Finally, the scientific committee decided to accept 46 papers for presentation at the workshop and subsequent publication. EWAF'24 also had the pleasure to host four keynote talks by esteemed researchers in the topic of algorithmic fairness:
● Bettina Berendt, Professor at Technical University of Berlin, Weizenbaum Institute, and KU Leuven. “De-biased, diverse, divisive - On ethical perspectives regarding the de-biasing of GenAI and their actionability” ● Virginia Dignum, Professor at Umeå University. “Beyond the AI hype: Balancing
Innovation and Social Responsibility” ● Isabel Valera, Professor at Saarland University. “Society-centered AI: An Integrative
Perspective on Algorithmic Fairness” ● Seth Lazar, Professor at Australian National University (online). “What, if anything, should we do, now, about catastrophic AI risk?” Interactive sessions were also an important part of the EWAF’24 scientific program. We would like to thank the following organizers alongside Lorenzo Porcaro (Joint Research Centre - JRC) who reviewed the proposals: ●
Thea Radüntz, Martin Brenzke and Dominik Köhler. “Striving for Equity: Navigating Algorithmic Fairness for AI in the Workplace” Marilisa D'Amico, Ernesto Damiani, Costanza Nardocci, Paolo Ceravolo, Samira Maghool, Marta Annamaria Tamborini, Paolo Gambatesa and Fatemeh Mohammadi. “Building Bridges from and Beyond the EU Artificial Intelligence Act. Regulating AI-based Discrimination in the European Scenario” Giulia Teverini, Joy Ciliani and Alessia Nicoletta Marino. “Fairness, or not fairness, that is the question. Rethinking virtual assistants' responses from an ethical perspective” Teresa Scantamburlo and Silvia Crafa. “Moral Exercises for Human Oversight of AI Systems” Elisabeth Späth. “Artificial Intelligence for assessment in the context of asylum procedures – lessons learned and reflections upon fairness-related challenges via participatory methods and science-policy dialogue”
Mattia Cerrato, Johannes Gutenberg-Universität Mainz Alesia Vallenas Coronel, Johannes Gutenberg-Universität Mainz Petra Ahrweiler, Johannes Gutenberg-Universität Mainz Marius Köppel, ETH Zürich Michele Loi, Politecnico di Milano & AlgorithmWatch Mykola Pechenizkiy, Eindhoven University of Technology Aurelia Tamò-Larrieux, Université de Lausanne
Agathe Balayn, Delft University of Technology
Hilde Weerts, Eindhoven University of Technology Computer Science
Jose M. Alvarez, Scuola Normale Superiore Maarten Buyl, Ghent University
Alessandro Fabris, Max Planck Institute for Security and Privacy
Eduard Fosch Villaronga, Leiden University
Carlotta Rigotti, Leiden University Philosophy
Sune Holm, University of Copenhagen Social Sciences
Albert Sabater, Universitat de Girona
Elisabeth Späth, Johannes Gutenberg-Universität Mainz
Alessandro Fabris, Max Planck Institute for Security and Privacy
Pia Snella, Hessische Landeszentrale für politische Bildung
Selina Jukic, Johannes Gutenberg-Universität Mainz Xenia Heilmann, Johannes Gutenberg-Universität Mainz Federico Peiretti, Johannes Gutenberg-Universität Mainz Iman Peljto, Johannes Gutenberg-Universität Mainz Kiara Stempel, Johannes Gutenberg-Universität Mainz Sylvia Steinmetz, Johannes Gutenberg-Universität Mainz
Sophie Noiret, Vienna University of Technology Straton Papagianneas, Leiden University Teresa Scantamburlo, University of Verona Thorsten Kalb, Universitat de Barcelona Tim Raez, University of Bern Wiebke Hutiri, SONY Yoosof Mashayekhi, Ghent University