D-POAF® Terminology v1.0
Abstract
D-POAF® Terminology v1.0 Defines the canonical vocabulary of the Decentralized Proof-Oriented AI Framework (D-POAF) and provides stable, implementation-agnostic definitions for its core concepts. It covers the Wave lifecycle (Instruct & Scope, Shape & Align, Execute & Evolve), the Proof Model and evidence families (PoD, PoV, PoR), end-to-end traceability, living governance, decision authority (Human ↔ AI) and delegation bounds, self-regulation (Observe–Evaluate–Adjust–Archive), and decision & investment logic (multidimensional decision matrix, ODP, dynamic roadmap). This glossary is intended to ensure consistent interpretation across D-POAF publications, implementations, and community discussions.
Fields of Study & Subjects
Explainable Artificial Intelligence (XAI)
Ethics and Social Impacts of AI
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026
- Language
- EN