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- Seán Healy, CO*IR: A Greedy and Individually Fair Re-ranker
- Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik Zuiderveen Borgesius and Asia J. Biega Bias Conducive Factors in Algorithmic Hiring
- Jorge Saldivar, Alessandro Fabris and Carlos Castillo Towards a synthetic dataset for anti-discrimination algorithmic hiring
- Marcos Gomez Vazquez, Sergio Morales, German Castignani, Robert Clarisó, Aaron Conrardy, Louis Deladiennee, Samuel Renault and Jordi Cabot A Leaderboard to Benchmark Ethical Biases in LLMs
- David Quer, Anna Via, Marc Serra-Vidal, Laia Nadal and Didac Fortuny Analyzing bias and discrimination in an algorithmic hiring use case
- Tim de Jonge and Djoerd Hiemstra UNFair: Search Engine Manipulation Undetectable by Amortized Inequity
- Adam Mehdi Arafan, David Graus, Fernando P. Santos and Emma Beauxis-Aussalet End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates (Extended Abstract)
- Emmanouil Krasanakis and Symeon Papadopoulos Towards Standardizing AI Bias Exploration
- Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli and Salvatore Ruggieri Requirements of eXplainable AI in Algorithmic Hiring
- Daniela Angela Parletta and Fabio Napoli Optimal Fair Ranking: Real Performances and Critical Parameters
- Clara Rus, Andrew Yates and Maarten de Rijke A Study of Pre-processing Fairness Intervention Methods for Ranking People
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