CHDT-Ω: PIOR-ART Public Category Record for Constitutional Human Digital Twin

CHDT-Ω (Constitutional Human Digital Twin Ω) is introduced here as a public PIOR-ART category record establishing a citation-ready, date-stamped and disclosure-disciplined anchor for a new class of constitutional AI and human digital twin systems. This record does not disclose implementation-sensitive internals. Instead, it provides a controlled public layer designed for citability, continuity and institutional traceability. The package includes: a public abstract and manifesto, a public glossary, a multilingual language layer (PL / EN / 简体中文), selected high-level figures, a high-level architecture note, a release note with version and date, and citation-ready metadata prepared for a DOI-based public record. The purpose of this release is to establish a stable public category anchor for CHDT-Ω and its PIOR-ART framing, while preserving disclosure discipline and maintaining a safe bridge between public visibility and deeper controlled layers of review, partnership and due diligence. This record should be read as a public category-layer publication: category-safe, implementation-safe and filing-safe. It is intended to support traceability for investors, editorial contexts, strategic partners, keynote references, media citations and continuity across future public releases.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-14
DOI
https://doi.org/10.5281/zenodo.18674965
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

CHDT-Ω: PIOR-ART Public Category Record for Constitutional Human Digital Twin

ARKADIUSZ LEJSZO
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

CHDT-Ω: PIOR-ART Public Category Record for Constitutional Human Digital Twin

ARKADIUSZ LEJSZO
article en

Abstract

CHDT-Ω (Constitutional Human Digital Twin Ω) is introduced here as a public PIOR-ART category record establishing a citation-ready, date-stamped and disclosure-disciplined anchor for a new class of constitutional AI and human digital twin systems. This record does not disclose implementation-sensitive internals. Instead, it provides a controlled public layer designed for citability, continuity and institutional traceability. The package includes: a public abstract and manifesto, a public glossary, a multilingual language layer (PL / EN / 简体中文), selected high-level figures, a high-level architecture note, a release note with version and date, and citation-ready metadata prepared for a DOI-based public record. The purpose of this release is to establish a stable public category anchor for CHDT-Ω and its PIOR-ART framing, while preserving disclosure discipline and maintaining a safe bridge between public visibility and deeper controlled layers of review, partnership and due diligence. This record should be read as a public category-layer publication: category-safe, implementation-safe and filing-safe. It is intended to support traceability for investors, editorial contexts, strategic partners, keynote references, media citations and continuity across future public releases.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 24%
Ethics and Social Impacts of AI
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