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Fairness Score and Process Standardization: Framework for Fairness
  Certification in Artificial Intelligence Systems

Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems

10 January 2022
Avinash Agarwal
Harshna Agarwal
Nihaarika Agarwal
ArXivPDFHTML

Papers citing "Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems"

6 / 6 papers shown
Title
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard
Avinash Agarwal
Mayashankar Kumar
Manisha J Nene
158
0
0
10 Apr 2025
Ethical AI Governance: Methods for Evaluating Trustworthy AI
Ethical AI Governance: Methods for Evaluating Trustworthy AI
Louise McCormack
Malika Bendechache
41
1
0
28 Aug 2024
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
29
0
0
20 Nov 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
A Seven-Layer Model for Standardising AI Fairness Assessment
A Seven-Layer Model for Standardising AI Fairness Assessment
A. K. Agarwal
Harshna Agarwal
28
0
0
21 Dec 2022
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
326
4,223
0
23 Aug 2019
1