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2102.00128
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The effect of differential victim crime reporting on predictive policing systems
Conference on Fairness, Accountability and Transparency (FAccT), 2021
30 January 2021
Nil-Jana Akpinar
Maria De-Arteaga
Alexandra Chouldechova
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Papers citing
"The effect of differential victim crime reporting on predictive policing systems"
12 / 12 papers shown
Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales
Ariadna Albors Zumel
Michele Tizzoni
Gian Maria Campedelli
HAI
101
1
0
25 Sep 2025
"Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study
User Modeling, Adaptation, and Personalization (UMAP), 2025
Siddharth Mehrotra
Ujwal Gadiraju
Eva Bittner
Folkert van Delden
Catholijn M. Jonker
Myrthe L. Tielman
315
2
0
15 Apr 2025
Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
Pramit Das
Moulinath Banerjee
Yuekai Sun
325
2
0
10 Feb 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
International Conference on Software Engineering (ICSE), 2025
Yining She
Sumon Biswas
Jane Hsieh
Eunsuk Kang
318
4
0
03 Jan 2025
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems
Jessy Xinyi Han
Andrew Miller
S. C. Watkins
Christopher Winship
Fotini Christia
Devavrat Shah
222
1
0
22 Feb 2024
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
324
24
0
29 Sep 2023
Mitigating Label Bias via Decoupled Confident Learning
Yunyi Li
Maria De-Arteaga
M. Saar-Tsechansky
214
0
0
18 Jul 2023
Counterfactual Prediction Under Outcome Measurement Error
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Luke M. Guerdan
Amanda Coston
Kenneth Holstein
Zhiwei Steven Wu
264
19
0
22 Feb 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Luke M. Guerdan
Amanda Coston
Zhiwei Steven Wu
Kenneth Holstein
CML
509
40
0
13 Feb 2023
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Production and operations management (POM), 2022
Maria De-Arteaga
Stefan Feuerriegel
M. Saar-Tsechansky
FaML
295
59
0
22 Jul 2022
The Fallacy of AI Functionality
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Inioluwa Deborah Raji
Indra Elizabeth Kumar
Aaron Horowitz
Andrew D. Selbst
280
253
0
20 Jun 2022
Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing
Nature Computational Science (Nat. Comput. Sci.), 2022
Zhi Liu
Uma Bhandaram
Nikhil Garg
296
14
0
19 Apr 2022
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!["Even explanations will not help in trusting [this] fundamentally biased system": A Predictive Policing Case-Study](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yNTA0LjExMDIwL3BhZ2VzL3BhZ2UuanBn?w=256&q=75&f=webp)
