# Consistency `kaal:entity:consistency` **Status.** derived This node is assembled mechanically from the 2 claims that carry the concept tag `consistency`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 2 claims across 2 works, 2025 to 2025. **2025** - [5541658-038](https://wulfkaal.github.io/claims/5541658-038) [empirical/evidenced] *(failure mode)* -- A Dutch court's AI system for traffic violation appeals improved consistency yet altered legal experts' decisions, which shows that consistency gains from judicial AI can come at the cost of influencing expert judgment and therefore require human oversight. > For example, a study of an AI system for traffic violation appeals in a Dutch court found that while AI improved consistency, it altered legal experts' decisions, highlighting the need for human oversight. Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658 - [5886342-038](https://wulfkaal.github.io/claims/5886342-038) [condition/asserted] -- Amendments to any one Book of the Codex must be consistent with the overall objectives and principles of the Codex, so internal coherence constrains the amendment power itself. > Any amendments made to one Book of UDLC Co- dex must be consistent with the overall objectives Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/consistency.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.