The DOI matches its OpenAlex record; 0 of the 13 references it cites were found in a registry or an index.
Generative AI and Fabricated Evidence Ploys: A Threat to Procedural Justice and the Legitimacy of Police
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In the citing paper
“generative AI also facilitates child sexual exploitation and abuse (CSEA).”
From Generative AI in child sexual exploitation and abuse: views from UK law enforcement (2026) · cites this paper as Martin 2024
Citations
Cites
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See, E. G. (2003) · N.J. Super. App. Div
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See, E. G. (1083)
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E, N. (2004)
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(n.d.) · See supra note 67
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See, E. G. (1969)
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(n.d.) · Deborah Young, supra note 80 at 468 (arguing that permitting police deception in interrogation contributes to losses in both individual and institutional integrity)
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Khasin, I. (2021) · Honesty Is the Best Policy: A Case for the Limitation of Deceptive Police Interrogation Practices in the United States, 42 VANDERBILT L. REV
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Miller, E. J. (2016) · Encountering Resistance: Contesting Policing and Procedural Justice, 2016 U. CHI. LEG
UnresolvedTestilying: Police Perjury and What to Do About It, 67 U. COLO
Generally, S. (1996) · L. REV
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Capers, I. B. (2008) · L.J
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Cited by
Generative AI in child sexual exploitation and abuse: views from UK law enforcement
Demeocq, C., Taylor, A., Ross, B., & McFeeters, A. (2026) · AI & SOCIETY · doi:10.1007/s00146-026-03176-6 · Cited by 1
Police application of generative artificial intelligence: A scoping review
Halford, E. (2026) · Journal of Policing Intelligence and Counter Terrorism · doi:10.1080/18335330.2026.2700576 · Cited by 1
Metadata
- Authors
- Martin, G.
- Corresponding author
- Martin, Gregory
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2024
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4400821411
- Cited by
- 2
- References
- 13
- Citations by year
- 2026: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
- Social Sciences › Law › Criminal Law and Evidence
- Social Sciences › Law › Legal processes and jurisprudence
- Keywords
- generative AI, fabricated evidence, police legitimacy, police misconduct, law enforcement accountability
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
