Workshop Program

The workshop will take place on

Wednesday, March 20, 2024.

Tentative Program

  • h.09.00 - 09.10, Welcome, Organizing Committee

  • h.09.10 - 10.30, Paper pitches of papers:

  •                  
  • - 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

  • h.10.30 - 11.00, Coffee Break

  • h.11.00 - 12.20, Poster session of papers #1 through #11

  • h.12.20 - 13.40, Lunch

  • h.13.40 - 15.00, Paper pitches of papers:

  •                  
  • - Elena Falletti and Chiara Gallese Credit scoring and transparency between the AI Act and the Court of Justice of the European Union

  • - Frederik Zuiderveen Borgesius, Nina Baranowska, Philipp Hacker and Alessandro Fabris Non-discrimination law in Europe: a primer. Introducing European non-discrimination law to non-lawyers

  • - Eleonora Misino, Roberta Calegari, Michele Lombardi and Michela Milano FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System

  • - Matteo Magnini, Giovanni Ciatto, Roberta Calegari and Andrea Omicini Mitigating Intersectional Fairness: a Practical Approach with FaUCI

  • - Maria Chiara Fiorentino, Sara Moccia, Mariachiara Di Cosmo, Emanuele Frontoni, Benedetta Giovanola and Simona Tiribelli Unveiling and Overcoming Ethical Biases in Fetal Ultrasound Datasets: Paving the Way for Equitable AI in Healthcare

  • - Samuel Martin-Gutierrez, Mauritz Cartier van Dissel and Fariba Karimi Multi-attribute homophily in networks

  • - Ivar Siccama and Peter van der Putten Checking for Bias in Automated Decisions in the Wild: Solutions and Challenges

  • - Justyna Stypinska and Rüya Gökhan Koçer The cumulation of algorithmic inequalities: age and gender bias in automatic decision-making systems

  • - Gemma Galdon Clavell, Toon Calders and Ariane Aumaitre Everything you know about AI bias is wrong How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems

  • - Arjun Roy and Eirini Ntoutsi Operational Multi-dimensional Discrimination in Machine Learning - A Comparative Discussion

  • - Mattias Brännström, Lili Jiang, Andrea Aler Tubella and Virginia Dignum Impact based fairness framework for socio-technical decision making

  • - Irma Mastenbroek Can AI be fair?

  • h.15.00 - 15.30, Coffee Break

  • h.15.30 - 16.50, Poster session of papers #12 through #22

  • h.16.50 - 17.00, Closing remarks

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