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Multi-dimensional discrimination in Law and Machine Learning -- A
  comparative overview

Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview

12 February 2023
Arjun Roy
J. Horstmann
Eirini Ntoutsi
    FaML
ArXivPDFHTML

Papers citing "Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview"

13 / 13 papers shown
Title
Intersectional Divergence: Measuring Fairness in Regression
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino
Nuno Moniz
Nitesh V. Chawla
FaML
65
0
0
01 May 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
Kristof Meding
FaML
68
1
0
22 Jan 2025
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
Emmanouil Krasanakis
Symeon Papadopoulos
20
0
0
27 Jun 2024
Intersectional Unfairness Discovery
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles Ling
Boyu Wang
Changjian Shui
44
2
0
31 May 2024
Towards Standardizing AI Bias Exploration
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
38
3
0
29 May 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in
  Individual Fair Graph Clustering
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
Siamak Ghodsi
Seyed Amjad Seyedi
Eirini Ntoutsi
27
6
0
16 Feb 2024
Fairness Certification for Natural Language Processing and Large
  Language Models
Fairness Certification for Natural Language Processing and Large Language Models
Vincent Freiberger
Erik Buchmann
39
2
0
02 Jan 2024
Fair Enough? A map of the current limitations of the requirements to
  have "fair" algorithms
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms
Alessandro Castelnovo
Nicole Inverardi
Gabriele Nanino
Ilaria Giuseppina Penco
D. Regoli
FaML
16
1
0
21 Nov 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair
  Multi-Task Learning
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning
Arjun Roy
C. Koutlis
Symeon Papadopoulos
Eirini Ntoutsi
25
0
0
20 Oct 2023
Correcting Underrepresentation and Intersectional Bias for
  Classification
Correcting Underrepresentation and Intersectional Bias for Classification
Emily Diana
A. Tolbert
FaML
21
1
0
19 Jun 2023
Fairness Implications of Encoding Protected Categorical Attributes
Fairness Implications of Encoding Protected Categorical Attributes
Carlos Mougan
J. Álvarez
Salvatore Ruggieri
Steffen Staab
FaML
29
14
0
27 Jan 2022
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
132
121
0
16 Jul 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
91
51
0
05 Jan 2021
1