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Bias, Fairness, and Accountability with AI and ML Algorithms

Bias, Fairness, and Accountability with AI and ML Algorithms

13 May 2021
Neng-Zhi Zhou
Zach Zhang
V. Nair
Harsh Singhal
Jie Chen
Agus Sudjianto
    FaML
ArXivPDFHTML

Papers citing "Bias, Fairness, and Accountability with AI and ML Algorithms"

2 / 2 papers shown
Title
Properties of fairness measures in the context of varying class imbalance and protected group ratios
Properties of fairness measures in the context of varying class imbalance and protected group ratios
D. Brzezinski
Julia Stachowiak
Jerzy Stefanowski
Izabela Szczech
R. Susmaga
Sofya Aksenyuk
Uladzimir Ivashka
Oleksandr Yasinskyi
137
4
0
13 Nov 2024
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
1