The DOI matches its Crossref record.
Criminal Law and Technology in a Data-Driven Society
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sometimes the police use AI systems for predictive policing: automated predictions about who will commit crime, or when and where crime will occur.
“Sometimes the police use AI systems for predictive policing: automated predictions about who will commit crime, or when and where crime will occur.”
From Discrimination, artificial intelligence, and algorithmic decision-making (2025) · cites this paper as Hildebrandt 2014
Citations
Cited by
Sorted by citations
Discrimination, artificial intelligence, and algorithmic decision-making
Borgesius, F. Z. (2025) · arXiv · doi:10.48550/arxiv.2510.13465 · Cited by 152
Metadata
- Authors
- Dubber, M. D., Hörnle, T., & Hildebrandt, M.
- Affiliations
- Radboud University Nijmegen (NL)
- Venue
- The Oxford Handbook of Criminal Law
- Publisher
- Oxford University Press
- Published
- 2014-11-01
- OpenAlex
- W73546679
- Cited by
- 9
- References
- 0
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 1 · 2016: 1 · 2015: 1
- FWCI
- 4.26
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Law › Cybercrime and Law Enforcement Studies
- Social Sciences › Law › Artificial Intelligence in Law
- Keywords
- criminal law, technology, data-driven society, digital evidence, surveillance, privacy, criminal justice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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