"Approximate Inference for the Bayesian Fairness Framework": 70 (Christos Dimitrakakis)
"An Open-Source Toolkit to Generate Biased Datasets": 10 (Daniele Regooli)
"Fair Machine Learning Through Post-processing: The Case of Predictive Parity": 18 (Anikó Hannák)
"Provable Fairness for Neural Network Models Using Formal Verification": 198 (Steven Skiena)
"Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms": 16 (Quan Le)
"The Case for Correctability in Fair Machine Learning": 5 (Mattia Cerrato)
"A Search Engine for Algorithmic Fairness Datasets": 165 (Gianmaria Silvello)
"Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy": 105 (Eirini Ntoutsi)
"Explainability Methods to Detect and Measure Discrimination in Machine Learning Models": 127 (Toon Calders)
"Model-Agnostic Auditing: A Lost Cause?": 5 (Joshua Loftus)
"FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit": 14 (Christoph Heitz)
"Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning?": 41 (Laurent Risser)
"Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?": 41 (Laurent Risser)
"Arbitrary Decisions Are a Hidden Cost of Differentially Private Training": 90 (Carmela Troncoso)
"It's About Time: Counterfactual Fairness and Temporal Depth": 5 (Joshua Loftus)
"Body Measurement Prediction Fairness": 12 (Meike Zehlike)
"Closing the Loop: Feedback Loops and Biases in Automated Decision-Making": 18 (Anikó Hannák)
"Pagerank Fairness in Networks": 214 (Evaggelia Pitoura)
"Fairness and Diversity in Information Access Systems": 204 (Carlos Castillo)
"Formally Verified Algorithmic Fairness Using Information-Flow Tools": 154 (Bernhard Beckert)
"How Differential Robustness Creates Disparate Impact: A European Case Study": 5 (Leid Zejnilović)
"Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making": 14 (Christoph Heitz)
"A Causal Analysis of Harm": 18 (Sander Beckers)
"How Data Quality Determines AI Fairness: The Case of Automated Interviewing": 7 (Hazar Harmouch)
"Classification Parity, Causal Equal Protection and Algorithmic Fairness": 14 (Michele Loi)
"Social Influence for Societal Interest: A Pro-Ethical Framework for Improving Human Decision-Making Through Multi-Stakeholder Recommender Systems": 12 (Matteo Fabbri)
"Through the Sands of Time: A Reliabilistic Account of Justified Credence in the Trustworthiness of AI Systems": 14 (Andrea Ferrario)
"Qualification and Quantification of Fairness for Sustainable Mobility Policies": 110 (Mara Tanelli)
"Using Fairness Metrics as Decision-Making Procedures: Algorithmic Fairness and the Problem of Action-Guidance": 5 (Otto Sahlgren)
"A 'Little Ethics' for Algorithmic Decision-Making": 9 (Teresa Scantamburlo)
"A Multidomain Relational Framework to Guide Institutional AI Research and Adoption": 0 (Johnathan Bright)
"Complex Equality and Algorithmic Fairness: A Social Goods Approach to Make Statistical Fairness Metrics Less Abstract": 0 (Bauke Wielinga)
"Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning": 0 (Sebastian Zezulka)
"Ethnic Classifications in Algorithmic Decision-Making Processes": 18 (Christoph Kern)
"When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes": 18 (Christoph Kern)
"Artificial Intelligence in Higher Education: Ethical Concerns for Students With Disabilities": 27 (Markus Christen)
"What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness": 18 (Christoph Kern)
"Careful Explanations: A Feminist Perspective on XAI": 3(Laura State)
"A Reflection on How Cross-Cultural Perspectives on the Ethics of Facial Analysis AI Can Inform EU Policymaking": 143 (Jens Grossklags)
"Algorithmic Bias in the Context of European Union Anti-Discrimination Directives": 0 (Ahmet Bilal Aytekin)
"Living with Opaque Technologies: Insights for AI from Digital Simulations": 16 (Emre Kazim)
"Improving Fairness and Cybersecurity in the Artificial Intelligence Act": 5 (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": 12 (Matteo Fabbri)
"Addressing Automation Bias through Verifiability": 0 (Lukas Hondrich)
"Fairness in Machine Learning as 'Algorithmic Positive Action'": 0 (Jan-Laurin Müller)
"Mitigating Diversity Biases of AI in the Labor Market": 35 (Eduard Fosch-Villaronga)
"Certification Labels for Trustworthy AI": 23 (Florian Brühlmann)
"The Explanation Dialogues: Understanding How Legal Experts Reason About XAI Methods": 137 (Franco Turini)
"Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law": 235 (Mykola Pechenizkiy)
"Assessing the Legality of Using the Category of Race and Ethnicity in Clinical Algorithms - the EU Anti-Discrimination Law Perspective": 1 (Malwina Anna Wojcik)
"Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study": 417 (Axel Legay)