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Survey on Fairness Notions and Related Tensions

Survey on Fairness Notions and Related Tensions

16 September 2022
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
    FaML
ArXivPDFHTML

Papers citing "Survey on Fairness Notions and Related Tensions"

10 / 10 papers shown
Title
A Systematic and Formal Study of the Impact of Local Differential
  Privacy on Fairness: Preliminary Results
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
K. Makhlouf
Tamara Stefanovic
Héber H. Arcolezi
C. Palamidessi
35
3
0
23 May 2024
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement
  Learning
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
Yaowei Hu
Jacob Lear
Lu Zhang
FaML
16
2
0
12 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
47
2
0
07 Dec 2023
On the Impact of Multi-dimensional Local Differential Privacy on
  Fairness
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
K. Makhlouf
Héber H. Arcolezi
Sami Zhioua
G. B. Brahim
C. Palamidessi
23
5
0
07 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective
Survey on AI Ethics: A Socio-technical Perspective
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Joslin Kenfack
23
4
0
28 Nov 2023
AI and ethics in insurance: a new solution to mitigate proxy
  discrimination in risk modeling
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling
Marguerite Sauce
Antoine Chancel
Antoine Ly
17
0
0
25 Jul 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness
(Local) Differential Privacy has NO Disparate Impact on Fairness
Héber H. Arcolezi
K. Makhlouf
C. Palamidessi
40
6
0
25 Apr 2023
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
488
0
31 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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