The DOI matches its Crossref record.
Public Epistemic Authority
Abstract
Every court claims authority. Normative scholars assess the legitimacy of those claims. Public Epistemic Authority provides a new perspective on this task by drawing on mechanisms of collective intelligence and comparing courts reliability as decision-makers to that of other branches of government.
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?
In the citing paper
“With big tech companies leading the development of AI, auditors risk capture by industry interests to receive repeated auditing commissions (Laux et. al 2021).”
From Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act (2024) · cites this paper as Laux et. al 2021
Citations
Cited by
Sorted by citations
Laux, J. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01777-z · Cited by 127
Self-citation
Metadata
- Authors
- Laux, J. M.
- Affiliations
- Universität Hamburg (DE)
- Corresponding author
- Laux, Johann Moritz
- ORCID
- Laux, Johann Moritz
- Venue
- Mohr Siebeck eBooks
- Publisher
- Mohr Siebeck
- Published
- 2022
- OpenAlex
- W3154407669
- Cited by
- 3
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1
- FWCI
- 1.53
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Mohr Siebeck eBooks (publishedVersion)
- Topics
- Social Sciences › Law › Judicial and Constitutional Studies
- Social Sciences › Law › Legal processes and jurisprudence
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Keywords
- judicial power, epistemic authority, judicial legitimacy, collective intelligence, judicial decision-making
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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