| Vol-3744 urn:nbn:de:0074-3744-7 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AIMMES 2024
AI bias: Measurements, Mitigation, Explanation Strategies 2024

### Proceedings of the 1st Workshop on AI bias: Measurements, Mitigation, Explanation Strategies
co-located with the AI Fairness Cluster Inaugural Conference 2024

### Amsterdam, Netherlands, March 20, 2024.

Edited by

### Roberta Calegari *
Carlos Castillo **
Symeon Papadopoulos ***
Roger Soraa ****

* University of Bologna, Department of Computer Science and Engineering, Bologna, Italy
** ICREA and Universitat Pompeu Fabra -, Barcelona, Spain
*** CERTH/ITI , Thessaloniki, Greece
*** NTNU Centre for Technology and Society , Trondheim, Norway

## Table of Contents

- Summary: There were 24 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 6 as regular papers and 0 as short papers.

### Papers

- A Leaderboard to Benchmark Ethical Biases in LLMs
  Marcos Gomez-Vazquez, Sergio Morales, German Castignani, Robert Clarisó, Aaron Conrardy, Louis Deladiennee, Samuel Renault, Jordi Cabot
- CO*IR: A Greedy and Individually Fair Re-ranker
  Seán Healy
- How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems
  Gemma Galdon Clavell, Ariane Aumaitre, Toon Calders
- Analyzing bias and discrimination in an algorithmic hiring use case
  David Quer, Anna Via, Marc Serra-Vidal, Laia Nadal, Didac Fortuny
- Towards Standardizing AI Bias Exploration
  Emmanouil Krasanakis, Symeon Papadopoulos
- Optimal Fair Ranking: Real Performances and Critical Parameters
  Daniela A. Parletta, Fabio Napoli
- Credit scoring and transparency between the AI Act and the Court of Justice of the European Union
  Elena Falletti, Chiara Gallese
- Requirements of eXplainable AI in Algorithmic Hiring
  Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli, Salvatore Ruggieri

2024-08-06: submitted by Roberta Calegari, metadata incl. bibliographic data published under Creative Commons CC0
2024-08-21: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|