D-POAF® Canonical Specification v1.0

D-POAF - Canonical Specification v1.0 This document defines the canonical concepts, principles, and conceptual model of the Decentralized Proof-Oriented AI Framework (D-POAF). D-POAF is a proof-oriented, decentralized framework for designing, governing, and evolving AI-native software engineering in which decisions emerge from hybrid human-AI interactions. It establishes proof rather than authority, automation, or performance as the primary foundation of trust and legitimacy. The canonical Specification specifies the framework’s foundational intent, principles, proof model, and evolution loop. It is intentionally technology-agnostic and implementation-independent. This document is designated as canonical. Any derivative work referencing D-POAF should align with the definitions and concepts established herein. Creators / Authors Sara Ihsine Azzeddine Ihsine Inovionix License Creative Commons Attribution 4.0 International (CC BY 4.0)

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-05
DOI
https://doi.org/10.5281/zenodo.18174957
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

D-POAF® Canonical Specification v1.0

Inovionix, D-POAF, Sara EL KHAL (IHSINE), Azzeddine IHSINE
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

D-POAF® Canonical Specification v1.0

Inovionix, D-POAF, Sara EL KHAL (IHSINE), Azzeddine IHSINE
article en

Abstract

D-POAF - Canonical Specification v1.0 This document defines the canonical concepts, principles, and conceptual model of the Decentralized Proof-Oriented AI Framework (D-POAF). D-POAF is a proof-oriented, decentralized framework for designing, governing, and evolving AI-native software engineering in which decisions emerge from hybrid human-AI interactions. It establishes proof rather than authority, automation, or performance as the primary foundation of trust and legitimacy. The canonical Specification specifies the framework’s foundational intent, principles, proof model, and evolution loop. It is intentionally technology-agnostic and implementation-independent. This document is designated as canonical. Any derivative work referencing D-POAF should align with the definitions and concepts established herein. Creators / Authors Sara Ihsine Azzeddine Ihsine Inovionix License Creative Commons Attribution 4.0 International (CC BY 4.0)

Zenodo (CERN European Organization for Nuclear Research)
TiGenix (Spain) (ES)
Openalex Percentile: Top 24%
Ethics and Social Impacts of AI
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D-POAF® Canonical Specification v1.0 — Inovionix, D-POAF, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS