Cited by 3Ethics and Social Impacts of AIDigitalization, Law, and RegulationArtificial Intelligence in Law

The Rule of Law for Artificial Intelligence in Public Administration: A System Safety Perspective

Nouws, Sem, Dobbe, Roel·2024·Information Technology and Law Series

Abstract

This chapter proposes an analytical lens to comprehensively address the role of Artificial Intelligence (AI) applications in mediating arbitrary exercise of power in public administration and the citizen harms that result from such conduct. It provides a timely and urgent account to fill gaps in conventional Rule of Law thought. AI systems are socio-technical by nature and, therefore, differ from the text-driven social constructs that the legal professions dealing with Rule of Law issues concentrate on. Put to work in public administration contexts with consequential decision-making, technical artefacts can contribute to a variety of hazardous situations that provide opportunities for arbitrary conduct. A comprehensive lens to understand and address the role of technology in Rule of Law violations has largely been missing in literature. We propose to combine a socio-legal perspective on the Rule of Law with central insights from system safety—a safety engineering tradition with a strong scientific as well as real-world practice—that considers safety from a technological, systemic, and institutional perspective. The combination results in a lexicon and analytical approach that enables public organisations to identify possibilities for arbitrary conduct in public AI systems. Following on the analysis, interventions can be designed to prevent, mitigate, or correct system hazards and, thereby, protect citizens against arbitrary exercise of power.

Integrity signals

Registry

Crossref · 10.1007/978-94-6265-639-0_9

Cites

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

The citation lists haven’t been fetched yet

References 58 · Cited by 3

Authors
Nouws, S., & Dobbe, R.
Affiliations
Delft University of Technology (NL)
Corresponding author
Nouws, Sem
Venue
Information Technology and Law Series
Published
2024
Pages
183-208
ISSN
  • 1570-2782 (ISSN-L)
  • 2215-1966
OpenAlex
W4405473235
Cited by
3
References
58
Citations by year
2026: 1 · 2025: 2
FWCI
4.25
Type
book chapter
Language
en
Open access
closed
Locations
Information technology and law series/Information technology & law series (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
Keywords
artificial intelligence in public administration, rule of law, system safety, socio-technical systems, AI decision-making, safety engineering, socio-legal perspective

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 ›

Are you an author, or do you see a problem with this page? Request a review