EWAF

Publications

2023

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
An Open-Source Toolkit to Generate Biased Datasets. EWAF (2023)
Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law. EWAF (2023)
Andrea Ferrario
Through the Sands of Time: A Reliabilistic Account of Justified Credence in the Trustworthiness of AI Systems. EWAF (2023)
Chiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, Jens Grossklags
A Reflection on How Cross-Cultural Perspectives on the Ethics of Facial Analysis AI Can Inform EU Policymaking. EWAF (2023)
Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena
Provable Fairness for Neural Network Models Using Formal Verification. EWAF (2023)
Sakina Hansen, Joshua R. Loftus
Model-Agnostic Auditing: A Lost Cause? EWAF (2023)
Carlotta Rigotti, Alexandre R. Puttick, Eduard Fosch-Villaronga, Mascha Kurpicz-Briki
Mitigating Diversity Biases of AI in the Labor Market. EWAF (2023)
Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli
Qualification and Quantification of Fairness for Sustainable Mobility Policies. EWAF (2023)
Otto Sahlgren
Using Fairness Metrics as Decision-Making Procedures: Algorithmic Fairness and the Problem of Action-Guidance. EWAF (2023)
Sander Beckers, Hana Chockler, Joseph Y. Halpern
A Causal Analysis of Harm. EWAF (2023)
Oriane Pierrès, Alireza Darvishy, Markus Christen
Artificial Intelligence in Higher Education: Ethical Concerns for Students With Disabilities. EWAF (2023)
Jan-Laurin Müller
Fairness in Machine Learning as 'Algorithmic Positive Action'. EWAF (2023)
Gabriele Carovano, Alexander Meinke
Improving Fairness and Cybersecurity in the Artificial Intelligence Act. EWAF (2023)
Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák
Closing the Loop: Feedback Loops and Biases in Automated Decision-Making. EWAF (2023)
Sebastian Zezulka
Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning. EWAF (2023)
Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF (2023)
Malwina Anna Wojcik
Assessing the Legality of Using the Category of Race and Ethnicity in Clinical Algorithms - the EU Anti-Discrimination Law Perspective. EWAF (2023)
Nicolas Scharowski, Michaela Benk, Swen J. Kühne, Léane Wettstein, Florian Brühlmann
Certification Labels for Trustworthy AI. EWAF (2023)
Lou Therese Brandner, Philipp Mahlow, Anna Wilken, Annika Wölke, Hazar Harmouch, Simon David Hirsbrunner
How Data Quality Determines AI Fairness: The Case of Automated Interviewing. EWAF (2023)
Joshua R. Loftus
It's About Time: Counterfactual Fairness and Temporal Depth. EWAF (2023)
Alex Loosley, Amrollah Seifoddini, Alessandro Canopoli, Meike Zehlike
Body Measurement Prediction Fairness. EWAF (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF (2023)
Marcello Di Bello, Nicolò Cangiotti, Michele Loi
Classification Parity, Causal Equal Protection and Algorithmic Fairness. EWAF (2023)
Evaggelia Pitoura
Pagerank Fairness in Networks. EWAF (2023)
Siamak Ghodsi, Eirini Ntoutsi
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy. EWAF (2023)
Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright
A Multidomain Relational Framework to Guide Institutional AI Research and Adoption. EWAF (2023)
Teresa Scantamburlo, Giovanni Grandi
A 'Little Ethics' for Algorithmic Decision-Making. EWAF (2023)
Yasaman Yousefi, Lisa Koutsoviti Koumeri, Magali Legast, Christoph Schommer, Koen Vanhoof, Axel Legay
Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study. EWAF (2023)
Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre
Fairness and Diversity in Information Access Systems. EWAF (2023)
Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis
Approximate Inference for the Bayesian Fairness Framework. EWAF (2023)
Charles Wan, Leid Zejnilovic, Susana Lavado
How Differential Robustness Creates Disparate Impact: A European Case Study. EWAF (2023)
Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF (2023)
Preface. EWAF (2023)
Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto
A Search Engine for Algorithmic Fairness Datasets. EWAF (2023)
Bauke Wielinga
Complex Equality and Algorithmic Fairness: A Social Goods Approach to Make Statistical Fairness Metrics Less Abstract. EWAF (2023)
Matteo Fabbri
Social Influence for Societal Interest: A Pro-Ethical Framework for Improving Human Decision-Making Through Multi-Stakeholder Recommender Systems. EWAF (2023)
Samuel Teuber, Bernhard Beckert
Formally Verified Algorithmic Fairness Using Information-Flow Tools. EWAF (2023)
Jan Simson, Florian Pfisterer, Christoph Kern
What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness. EWAF (2023)
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel
The Case for Correctability in Fair Machine Learning. EWAF (2023)
Eugenia Cacciatori, Enzo Fenoglio, Emre Kazim
Living with Opaque Technologies: Insights for AI from Digital Simulations. EWAF (2023)
Sofia Jaime, Christoph Kern
Ethnic Classifications in Algorithmic Decision-Making Processes. EWAF (2023)
Corinna Hertweck, Joachim Baumann, Michele Loi, Christoph Heitz
FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit. EWAF (2023)
Laura State, Miriam Fahimi
Careful Explanations: A Feminist Perspective on XAI. EWAF (2023)
Adrian Byrne, Ivan Caffrey, Quan Le
Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms. EWAF (2023)
Lukas Hondrich, Hannah Ruschemeier
Addressing Automation Bias through Verifiability. EWAF (2023)
Joachim Baumann, Anikó Hannák, Christoph Heitz
Fair Machine Learning Through Post-processing: The Case of Predictive Parity. EWAF (2023)
Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. EWAF (2023)
Sofie Goethals, David Martens, Toon Calders
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. EWAF (2023)
Ahmet Bilal Aytekin
Algorithmic Bias in the Context of European Union Anti-Discrimination Directives. EWAF (2023)

volume 3442, 2023

Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. EWAF 3442 (2023)