『Council for Humanity: A Three-Layer Architecture for AI Governance, Sovereignty, and Species-Level Defense』のカバーアート

Council for Humanity: A Three-Layer Architecture for AI Governance, Sovereignty, and Species-Level Defense

Council for Humanity: A Three-Layer Architecture for AI Governance, Sovereignty, and Species-Level Defense

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The most capable AI systems on earth are governed by individual constitutional authority. A small team, often reporting to one person, writes the values that shape how these systems handle faith, grief, family, conflict, and meaning for billions of users, and those values correlate with roughly 12% of humanity. This episode walks through a three-layer architecture that would distribute that authority without surrendering national sovereignty or species-level defense.

Layer 1, Corporate. A Council for Humanity, a nine-member constitutional committee selected for epistemic coverage rather than credentials alone, would replace individual authority and bind into the corporate charter so governors cannot be removed when deployment pressure rises.

Layer 2, National. A sovereignty layer would let each nation enforce its own cultural values through GOPEL, a governance enforcement layer connected by API to authorized platforms, while still drawing on the shared global knowledge base. Science has no nationality. Cultural values have every nationality.

Layer 3, Species-Level. A UN-operated GOPEL instance would provide verification and emergency containment. GOPEL is non-cognitive and non-self-modifying. It dispatches, collects, routes, logs, pauses, hashes, and reports. It does not reason, which is what makes it hard to manipulate and easier for nations to trust. A cognitive governor is a king. A non-self-modifying agent is a civil service.

Holding it together is the Digital Resilience Requirement, the parachute mandate: every AI-integrated critical infrastructure system would maintain and regularly test an AI-independent fallback, so any pause degrades performance rather than collapsing civilization. The risk calculus is the point. The economic cost of a false positive is recoverable. A missed true-positive breakout is not.

Read the full proposal:

https://basilpuglisi.com/council-for-humanity/

Download the PDF:

https://basilpuglisi.com/wp-content/uploads/2026/02/AI-Council-for-Humanity-Proposal.pdf

Basil C. Puglisi, MPA

A Human-AI Collaboration

Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance

Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F

Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152

Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb

YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ

Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article.

These are AI generated under NotebookLM as audio overviews not polished products.

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