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Navigating Fairness: Practitioners' Understanding, Challenges, and
  Strategies in AI/ML Development

Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development

21 March 2024
Aastha Pant
Rashina Hoda
C. Tantithamthavorn
Burak Turhan
ArXivPDFHTML

Papers citing "Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development"

3 / 3 papers shown
Title
Exploring How Machine Learning Practitioners (Try To) Use Fairness
  Toolkits
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
36
88
0
13 May 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
294
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
1