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AIMMES 2024: Amsterdam, The Netherlands

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  dblp key:
  - conf/aimmes/2024
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Roberta Calegari, Carlos Castillo, Symeon Papadopoulos, Roger Andre Søraa:
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. CEUR Workshop Proceedings 3744, CEUR-WS.org 2024
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  - conf/aimmes/Gomez-VazquezMC24
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Marcos Gomez-Vazquez, Sergio Morales, German Castignani, Robert Clarisó, Aaron David Conrardy, Louis Deladiennee, Samuel Renault, Jordi Cabot:
A Leaderboard to Benchmark Ethical Biases in LLMs.
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  dblp key:
  - conf/aimmes/Healy24
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Sean Healy:
CO*IR: A Greedy and Individually Fair Re-ranker.
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  - conf/aimmes/ClavellAC24
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Gemma Galdon Clavell, Ariane Aumaitre, Toon Calders:
How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems.
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  - conf/aimmes/QuerVSNF24
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David Quer, Anna Via, Marc Serra-Vidal, Laia Nadal, Didac Fortuny:
Analyzing bias and discrimination in an algorithmic hiring use case.
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  dblp key:
  - conf/aimmes/KrasanakisP24
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Emmanouil Krasanakis, Symeon Papadopoulos:
Towards Standardizing AI Bias Exploration.
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  - conf/aimmes/ParlettaN24
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Daniela A. Parletta, Fabio Napoli:
Optimal Fair Ranking: Real Performances and Critical Parameters.
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  - conf/aimmes/FallettiG24
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Elena Falletti, Chiara Gallese:
Credit scoring and transparency between the AI Act and the Court of Justice of the European Union.
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  - conf/aimmes/BerettaEFGIMMRR24
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Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli, Salvatore Ruggieri:
Requirements of eXplainable AI in Algorithmic Hiring.

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