Cited by 18Ethics and Social Impacts of AIDigitalization, Law, and RegulationExplainable Artificial Intelligence (XAI)

The DOI matches its Crossref record.

Reviewable Automated Decision-Making

Open access
Cobbe, Jennifer, Singh, Jatinder·2020·Computer Law & Security Review

Overview

Integrity signals

Registry

Crossref · 10.1016/j.clsr.2020.105475

Cites

Statistics

Recomputing p-values needs the paper’s full text.

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Claims the paper makes

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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?

Citations

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Metadata

Authors
Cobbe, J., & Singh, J.
Venue
Computer Law & Security Review
Publisher
Elsevier BV
Published
2020-11
Volume
39
Pages
105475
ISSN
2212-473X (ISSN-L)
OpenAlex
W3093830286
Cited by
18
References
0
Citations by year
2026: 4 · 2025: 4 · 2024: 3 · 2022: 6 · 2020: 1
FWCI
2.39
Type
journal article
Language
en
Open access
Locations
  • Computer law & security review (publishedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
  • Apollo
Funders
  • University of Cambridge
  • Engineering and Physical Sciences Research Council
  • Microsoft
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords
reviewability, automated decision-making, accountability, machine learning, socio-technical systems, administrative law, judicial review, public sector, record keeping, logging, legal compliance, regulatory oversight, explanation

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.

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