Canonical Terms for Behavioral AI Governance (v1.0.0):
Abstract
This document defines canonical terms used in Behavioral AI Governance, with emphasis on longitudinal analysis, authority binding, escalation design, and continuous assurance.These definitions are intended to serve as a stable reference layer for governance frameworks, audits, research, and implementation guidance.The terms are non-anthropomorphic, execution-aware, and designed to describe how behavior accumulates, stabilizes, and constrains outcomes over time.This work is published to establish citation stability and prevent semantic drift across downstream usage.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Digitalization
Law
and Regulation
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN