Work

Canonical Terms for Behavioral AI Governance (v1.0.0):

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18615599

Author: Bui, Amy Pierce

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7128643254

FWCI:

Cites:

Cited by:

Related to: