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Runaway Feedback Loops in Predictive Policing

Runaway Feedback Loops in Predictive Policing

29 June 2017
D. Ensign
Sorelle A. Friedler
Scott Neville
C. Scheidegger
Suresh Venkatasubramanian
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Papers citing "Runaway Feedback Loops in Predictive Policing"

10 / 10 papers shown
Title
Position: Model Collapse Does Not Mean What You Think
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
136
2
0
05 Mar 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
76
0
0
03 Jan 2025
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
92
3
0
10 Jun 2024
Generalization Error Bounds for Learning under Censored Feedback
Generalization Error Bounds for Learning under Censored Feedback
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
40
0
0
14 Apr 2024
Performative Prediction: Past and Future
Performative Prediction: Past and Future
Moritz Hardt
Celestine Mendler-Dünner
73
23
0
25 Oct 2023
Performative Prediction with Neural Networks
Performative Prediction with Neural Networks
Mehrnaz Mofakhami
Ioannis Mitliagkas
Gauthier Gidel
52
18
0
14 Apr 2023
Extending the Machine Learning Abstraction Boundary: A Complex Systems
  Approach to Incorporate Societal Context
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Donald Martin
Vinodkumar Prabhakaran
Jill A. Kuhlberg
A. Smart
William S. Isaac
FaML
38
40
0
17 Jun 2020
Stochastic Optimization for Performative Prediction
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
29
114
0
12 Jun 2020
Fair Algorithms for Infinite and Contextual Bandits
Fair Algorithms for Infinite and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FedML
FaML
50
55
0
29 Oct 2016
Fairness in Learning: Classic and Contextual Bandits
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
37
472
0
23 May 2016
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