The Rule of Law for Artificial Intelligence in Public Administration: A System Safety Perspective
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.
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Process design is vital in ensuring that procedural desiderata are met in processes, such as participatory, democratic and rule of law requirements.
“Process design is also vital in ensuring that procedural desiderata are met in processes, such as participatory, democratic and rule of law requirements (Nouws & Dobbe, 2024).”
From Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback (2025) · cites this paper as Nouws & Dobbe, 2024
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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
- Publisher
- T.M.C. Asser Press
- 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
- Licence
- 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
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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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