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Towards "Anytime, Anywhere" Community Learning and Engagement around the
  Design of Public Sector AI

Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI

31 March 2023
Wesley Hanwen Deng
Motahhare Eslami
Kenneth Holstein
ArXivPDFHTML

Papers citing "Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI"

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
41
88
0
13 May 2022
Empowering Local Communities Using Artificial Intelligence
Empowering Local Communities Using Artificial Intelligence
Yen-Chia Hsu
Ting-Hao 'Kenneth' Huang
Himanshu Verma
A. Mauri
I. Nourbakhsh
A. Bozzon
31
32
0
05 Oct 2021
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
2,084
0
24 Oct 2016
1