Evidence map›Paper›PMID 35668876›Full record

ArticleEuropean journal on criminal policy and research2022

The Use of Facial Recognition Technology by Law Enforcement in Europe: a Non-Orwellian Draft Proposal.

Vera Lúcia Raposo

Abstract read
In one paragraph

Article in European journal on criminal policy and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Vera Lúcia RaposoUniversity of Coimbra, Coimbra, Portugal.ORCID 0000-0001-7895-2181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The European legal framework is not devoid of norms that are directly or indirectly applicable to facial recognition technology for identification purposes within law enforcement. However, these various norms, which have different targets and are from multiple sources, create a kind of legal patchwork that could undermine the lawful use of this technology in criminal investigations. This paper advocates the creation of a specific law on the use of facial recognition technology for identification in law enforcement, based on existing regulations, to specifically address the pressing issues arising in this domain. The ultimate aim is to allow its use under certain conditions and to protect the rights of the people involved, but also to provide law enforcement authorities with the necessary tools to combat serious crimes.

Indexed as

Algorithm accuracyArtificial intelligenceFacial recognition technologyIdentificationLaw enforcementPersonal data

Identifiers

PMID35668876
PMCPMC9156832

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.