|
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
*
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|