A normative layer for human-centric AI governance. Release v2.2.1 — Early Preview · April 2026
- New adopter? Begin with
docs/INSTALL.md— cross-platform install guide (~30–60 min). - Want to know what's inside and what's not? See
docs/KNOWN_LIMITATIONS.md. - Release overview:
docs/RELEASE_NOTES_v2.2.1.md. - Research paper: "PAI-CD: A Constitutional Framework for Authorial Sovereignty in Deployed AI Systems" · SSRN · DOI 10.2139/ssrn.6512218.
The frozen v2.2 corpus snapshot is archived via DOI: https://doi.org/10.5281/zenodo.19151900
PAI-CD v2.2 is a constitutional framework consisting of 10 normative documents, organized as a layered system.
The v2.2.1 release package contains:
- Three foundational corpus documents (Layer 0) — constitutional invariants, authorial rights, binding terminology
- Companion research paper (SSRN DOI 10.2139/ssrn.6512218)
- Rust SDK v1.3.0 — 22 library crates + governance daemon binary + 5 runnable examples
- Install guide (
docs/INSTALL.md) — cross-platform walkthrough - Release notes, known limitations, license, contribution policy, security policy, citation metadata
The remaining corpus layers (interpretation rules, threat modeling beyond Layer 0, protocol constraints, compliance logic, audit procedures, governance mechanisms, implementation mapping) exist in internal canonical development and will be released progressively in subsequent publications.
This repository is not a research paper.
It is a normative constitutional specification (Layer 0 infrastructure).
A companion research paper describing the problem space, threat model, invariant architecture, and system implications is published on SSRN:
"PAI-CD: A Constitutional Framework for Authorial Sovereignty in Deployed AI Systems" Mikhail Anatolievich Sergeev · Independent Researcher; PAI-Kernel Initiative · 2026 DOI: 10.2139/ssrn.6512218
The paper PDF is also included in this repository under papers/.
PAI (Personal Authorial Intelligence) is a normative framework that ensures AI systems operate exclusively under the declared and verifiable authority of the human author they represent.
PAI defines the constitutional conditions required to preserve authorial sovereignty at the deployment layer of AI systems.
PAI-Kernel is the public normative layer of the PAI Constitutional Framework (PAI-CD) — a formal specification defining the constitutional principles, authorial rights, and governance invariants for Personal Authorial Intelligence systems.
The PAI Constitutional Framework (PAI-CD) is a structured corpus of normative documents establishing the governance model of PAI systems.
This repository contains the Public Edition — the Layer 0 release of the PAI-CD corpus.
PAI-CD is not a product. It is not a startup. It is a Layer 0 normative infrastructure — a constitutional substrate on which compliant implementations, governance bodies, and execution systems may be built.
Most AI governance discourse focuses on what AI systems should do.
PAI-CD focuses on something prior: who holds final authority, and what structural guarantees protect that authority from erosion — by providers, by optimization pressure, by infrastructure lock-in, or by cumulative drift.
The framework defines six non-derogable invariants:
| Invariant | What It Protects |
|---|---|
| Authorship Supremacy | Final human authority over all consequential decisions |
| Cognitive Sovereignty | Freedom from covert persuasion and behavioral shaping |
| Anti-Manipulation | Prohibition on undeclared optimization objectives |
| Provider Independence | Portability and governance reproducibility |
| Reversibility | Reconstructability of all structural changes |
| Drift Immutability | Protection against cumulative invariant erosion |
These invariants are non-derogable — they cannot be suspended by emergency, majority vote, economic pressure, security update, or provider policy.
PAI-CD operates at Layer 0 — below models, providers, and application logic.
This repository publishes three foundational documents:
| Document | Description |
|---|---|
corpus/PAI_Constitutional_Document.md |
Invariants and interpretation rules |
corpus/PAI_Bill_of_Authorial_Rights.md |
Enforceable Author rights |
corpus/Glossary.md |
Binding terminology for PAI-CD v2.2 |
The full corpus (10 documents) includes implementation mapping, threat modeling, compliance verification, and governance control layers. The complete framework is maintained by the author and will be extended as the project develops.
Ambiguity resolves toward stronger invariant protection, minimal authority expansion, and maximum portability.
This principle applies to all documents in this repository and to any compliant implementation.
| Item | Status |
|---|---|
| Constitutional Framework | v2.2 corpus — Freeze Edition (March 2026) |
| Release package | v2.2.1 — Early Preview (April 2026) |
| Distribution | Invitation-only early adopter preview |
| Domain | paikernel.org |
| Paper DOI | 10.2139/ssrn.6512218 |
| Governance | Currently maintained by the primary author |
Note on versioning: The v2.2 corpus is a frozen, citationally-stable snapshot of the three foundational documents (March 2026). The v2.2.1 release package (April 2026) publishes that corpus together with adopter materials, the research paper, and the Rust SDK v1.3.0. Future releases may introduce additional normative content; v2.2.1 remains retrievable under its tag. For academic citation, see
CITATION.cff.
This repository is dual-licensed between code and documentation:
-
Source code (Rust crates · binaries · scripts · CI workflows): Licensed under MIT OR Apache-2.0 (dual license · choose either at your discretion). See
LICENSE-MITandLICENSE-APACHE. -
Documentation (PAI-CD framework normative texts · Constitutional Document · Bill of Authorial Rights · Glossary · this README's narrative sections): Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See
LICENSE-CC-BY-4.0.
You are free to share, adapt, and use this material — including in commercial products — provided you preserve copyright notices, give appropriate attribution to PAI-Kernel Initiative, and indicate if changes were made.
For a license summary and FAQ, see LICENSE. A detailed
License FAQ is published in v2.2.2.
PAI-Kernel is in early formation. Community standards are published in this repository:
CODE_OF_CONDUCT.md— grounded in PAI-CD anti-manipulation principlesCONTRIBUTING.md— amendment procedure as contribution pathwaySECURITY.md— responsible disclosure for specification vulnerabilities
At this stage, the most valuable contributions are:
- Careful reading and substantive critique of the normative layer
- Identification of ambiguities that require clarification via Amendment
- Academic or institutional engagement
Please open an Issue using the provided templates to begin a public discussion.
For institutional inquiries, academic collaboration, or governance discussion:
Open an Issue in this repository, reach out via paikernel.org, or email contact@paikernel.org.
PAI-Kernel is a public normative layer of PAI-CD. It is not affiliated with any AI provider.