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A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets
Miri Zilka · Bradley Butcher · Adrian Weller

Wed Nov 30 02:30 PM -- 04:00 PM (PST) @ Hall J #1023

Criminal justice is an increasingly important application domain for machine learning and algorithmic fairness, as predictive tools are becoming widely used in police, courts, and prison systems worldwide. A few relevant benchmarks have received significant attention, e.g., the COMPAS dataset, often without proper consideration of the domain context. To raise awareness of publicly available criminal justice datasets and encourage their responsible use, we conduct a survey, consider contexts, highlight potential uses, and identify gaps and limitations. We provide datasheets for 15 datasets and upload them to a public repository. We compare the datasets across several dimensions, including size, coverage of the population, and potential use, highlighting concerns. We hope that this work can provide a useful starting point for researchers looking for appropriate datasets related to criminal justice, and that the repository will continue to grow as a community effort.

Author Information

Miri Zilka (University of Cambridge)
Bradley Butcher (University of Sussex)
Adrian Weller (Cambridge, Alan Turing Institute)

Adrian Weller is Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI, where he is also a Turing Fellow leading work on safe and ethical AI. He is a Principal Research Fellow in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he is Programme Director for Trust and Society. His interests span AI, its commercial applications and helping to ensure beneficial outcomes for society. He serves on several boards including the Centre for Data Ethics and Innovation. Previously, Adrian held senior roles in finance.

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