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Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in
  Practice

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

11 August 2021
Jiahao Chen
Victor Storchan
Eren Kurshan
ArXivPDFHTML

Papers citing "Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice"

6 / 6 papers shown
Title
Towards a Non-Ideal Methodological Framework for Responsible ML
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal
Shion Guha
Syed Ishtiaque Ahmed
48
7
0
20 Jan 2024
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
52
5
0
24 Nov 2022
Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
489
0
31 Dec 2020
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
210
107
0
26 Aug 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
326
4,212
0
23 Aug 2019
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