Cover Image

A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Jessy Xinyi, Miller, Andrew, Watkins, S. Craig, Winship, Christopher, Christia, Fotini, Shah, Devavrat
Format:	Preprint
Published:	2024
Subjects:	Applications Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fairness Is More Than Algorithms: Racial Disparities in Time-to-Recidivism
by: Han, Jessy Xinyi, et al.
Published: (2025)

Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision
by: Han, Jessy Xinyi, et al.
Published: (2025)

Mitigating Nonlinear Algorithmic Bias in Binary Classification
by: Hui, Wendy, et al.
Published: (2023)

Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
by: Castelnovo, Alessandro
Published: (2024)

A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
by: Han, Larry, et al.
Published: (2024)

Bridging Prediction and Intervention Problems in Social Systems
by: Liu, Lydia T., et al.
Published: (2025)

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
by: Ma, Junwei, et al.
Published: (2024)

Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi
by: Das, Sourish, et al.
Published: (2025)

Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
by: Landesberg, Eddie, et al.
Published: (2025)

RestoreAI -- Pattern-based Risk Estimation Of Remaining Explosives
by: Kischelewski, Björn, et al.
Published: (2025)

Analysis of Line Break prediction models for detecting defensive breakthrough in football
by: Yagi, Shoma, et al.
Published: (2025)

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
by: Rafiei, Alireza, et al.
Published: (2024)

A structured regression approach for evaluating model performance across intersectional subgroups
by: Herlihy, Christine, et al.
Published: (2024)

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
by: Agostini, Gabriel, et al.
Published: (2023)

Integrating Project Spatial Coordinates into Pavement Management Prioritization
by: Hanandeh, Shadi, et al.
Published: (2018)

Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
by: Schwerter, Jakob, et al.
Published: (2026)

Detecting algorithmic bias in medical-AI models using trees
by: Smith, Jeffrey, et al.
Published: (2023)

Lazy Data Practices Harm Fairness Research
by: Simson, Jan, et al.
Published: (2024)

Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024)

Rethinking recidivism through a causal lens
by: Shirvaikar, Vik, et al.
Published: (2020)

Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data
by: Stucke, Isabell, et al.
Published: (2024)

Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study
by: Zafri, Niaz Mahmud, et al.
Published: (2024)

User Engagement in Mobile Health Applications
by: Olaniyi, Babaniyi Yusuf, et al.
Published: (2022)

Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning
by: Ghosh, Tisha
Published: (2025)

Exploring Educational Equity: A Machine Learning Approach to Unravel Achievement Disparities in Georgia
by: Ma, Yichen, et al.
Published: (2024)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
by: Baucks, Frederik, et al.
Published: (2024)

The Art of Storytelling in Authoritarian Regimes: Crafting State Narratives on Chinese Social Media
by: Luo, Ting, et al.
Published: (2025)

Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
by: Wei, Qianru, et al.
Published: (2026)

An Early Warning Model for Forced Displacement
by: Henningsen, Geraldine
Published: (2025)

Data-Driven Approach to Capitation Reform in Rwanda
by: Olaniyi, Babaniyi, et al.
Published: (2025)

The Course Difficulty Analysis Cookbook
by: Baucks, Frederik, et al.
Published: (2025)

Crash Severity Risk Modeling Strategies under Data Imbalance
by: Mamun, Abdullah Al, et al.
Published: (2024)

Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024)

A Strategy Transfer and Decision Support Approach for Epidemic Control in Experience Shortage Scenarios
by: Xiao, X., et al.
Published: (2024)

Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing
by: Fang, Shiqi, et al.
Published: (2024)

A Latent Variable Framework for Scaling Laws in Large Language Models
by: Cai, Peiyao, et al.
Published: (2025)

Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods
by: Kenny, Christopher T., et al.
Published: (2023)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
by: Parikh, Harsh, et al.
Published: (2024)

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2025)

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)