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White Papers

Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration

March 10, 2026 by Basil Puglisi Leave a Comment

Checkpoint-Based Governance CBG v5.0 constitutional framework infographic showing four constitutional properties, the decision loop, HAIA stack position, and Asimov harm boundary. Intellectual property of Basil C. Puglisi, MPA.

The Four Constitutional Properties Property 1Primary Purpose CBG is AI Governance. It provides human oversight and accountability for AI-assisted work. CBG’s primary purpose is to supply the governance layer that sits on top of single-platform AI output and that makes RECCLIN dispatch and CAIPR parallel review into governed learning systems rather than AI frameworks alone. […]

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Code & Technical Builds, Content Marketing, Data & CRM, Policy & Research, Thought Leadership, White Papers, Workflow Tagged With: AI accountability, AI Framework 2026, AI Governance, AI oversight, AI Policy, AIS, Asimov, Basil Puglisi, CAIPR, CBG, Checkpoint-Based Governance, Constitutional AI, GOPEL, HAIA, HEQ, Human In the Loop, Human-AI Collaboration, multi-AI governance, RECCLIN, Responsible AI

GOPEL v1.5: The Non-Cognitive Governance Layer That Automates Without Thinking

March 8, 2026 by Basil Puglisi Leave a Comment

A dark blue governance pipeline moves left to right through four enforcement checkpoints, while a human authority sits above and outside the channel at a command desk, overseeing the process as verified documents exit on the right in gold.

What GOPEL Is GOPEL — Governance Orchestrator Policy Enforcement Layer — is the only published, fully disclosed reference implementation of a non-cognitive multi-AI governance architecture anywhere in the world. That claim carries weight because the search for something like it came up empty. In 2025, during the build of the HAIA-RECCLIN governance framework, the need […]

Filed Under: AI Governance, AI Thought Leadership, Code & Technical Builds, Data & CRM, Policy & Research, Thought Leadership, White Papers Tagged With: AI Governance, Basil Puglisi, CAIPR, Checkpoint-Based Governance, Deterministic Governance, GOPEL, HAIA-RECCLIN, Human-AI Collaboration, Multi-AI

What 34 Reports Actually Told Us About AI: The Truth Behind the Hype, the Proof, and the Path Forward

March 4, 2026 by Basil Puglisi Leave a Comment

A synthesis of research from McKinsey, Google, OpenAI, Anthropic, BCG, IBM, Microsoft, WEF, Deloitte, OECD, the Future of Life Institute, and more, compiled and critiqued by a practitioner. The Setup: Why This Matters More Than Another Hot Take Alex Issakova curated and shared a collection of 34 leading AI research reports from the world’s most […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Thought Leadership, White Papers Tagged With: agentic AI, AI deployment, AI failure rates, AI Governance, AI pilots, AI research synthesis, AI ROI, AI safety, Basil Puglisi, boardroom AI governance, Checkpoint-Based Governance, enterprise AI, EU AI Act, Factics, FLI AI Safety Index, GOPEL, HAIA-RECCLIN, Human-AI Collaboration, McKinsey AI, OECD AI, open-source AI

The Loop That Ate the Governor

March 2, 2026 by Basil Puglisi Leave a Comment

A human figure dissolving into data streams at a governance checkpoint, representing human authority becoming indistinguishable from AI output in a processing pipeline

When “Human in the Loop” Becomes “Human Lost in the Queue” A Case Study in Governance Architecture Failure The Argument Every major AI governance framework in circulation today includes some version of the same assurance: a human remains in the loop. The EU AI Act requires it in Article 14. The NIST AI Risk Management […]

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Code & Technical Builds, Design, Thought Leadership, White Papers, Workflow

Measuring Augmented Intelligence

February 24, 2026 by Basil Puglisi Leave a Comment

Augmented Intelligence Score

Theoretical Foundations and Empirical Development of the Human Enhancement Quotient (HEQ) and Augmented Intelligence Score (AIS) Executive Summary (PDF here for Mobile Users) Augmented intelligence, as defined by Gartner, is the recognized partnership model of humans and AI enhancing cognitive performance together. Organizations have invested heavily in that model. No cross-platform, behavior-anchored, governance-integrated instrument exists […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Conferences & Education, Design, Policy & Research, Thought Leadership, White Papers Tagged With: AI Assessment, AI Governance, AIS, Augmented Intelligence, Cognitive Amplification, HAIA-RECCLIN, HEQ, Human-AI Collaboration, Working Paper

GOPEL: The Code Behind the Policy

February 23, 2026 by Basil Puglisi 2 Comments

GOPEL the Agent Code Giveaway

How a Non-Cognitive Governance Agent Went from Specification to Working Software, and Why the Claim That AI Governance Infrastructure Cannot Be Built Is No Longer Defensible This article serves as the proof-of-concept record for the AI Provider Plurality Congressional Package. The repository is public at github.com/basilpuglisi/HAIA under Creative Commons Attribution-NonCommercial 4.0 International license. The Agent […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Code & Technical Builds, Conferences & Education, Data & CRM, Design, Policy & Research, Thought Leadership, White Papers Tagged With: Adversarial Review, AI Infrastructure, AI provider plurality, Checkpoint-Based Governance, GOPEL, HAIA-RECCLIN, Non-Cognitive Constraint, Open Source, provider plurality, Reference Implementation

Training AI for Humanity:

February 21, 2026 by Basil Puglisi Leave a Comment

AI governance, superintelligence, first contact, epistemic diversity, WEIRD bias, AI value formation, constitutional authority, multi-AI collaboration, human oversight, checkpoint-based governance, temporal inseparability, HAIA-RECCLIN, Council for Humanity, monoculture AI, AI alignment, Basil Puglisi, training window, representational failure, epistemic coverage, AI safety

Building the First Contact Team for Superintelligence Before the Window Closes (PDF Here) Abstract The people training artificial intelligence today are building the cognitive foundation for whatever comes next. If superintelligence emerges from systems whose value structures correlate with 12% of humanity and diverge from the rest (Atari et al., 2023; Henrich et al., 2010), […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Thought Leadership, White Papers Tagged With: AI alignment, AI Governance, AI value formation, Basil Puglisi, Checkpoint-Based Governance, constitutional authority, Council for Humanity, epistemic coverage, epistemic diversity, first contact, HAIA-RECCLIN, human oversight, monoculture AI, multi-AI collaboration, representational failure, superintelligence, temporal inseparability, training window, WEIRD bias

A Governance Specification for AI Value Formation

February 10, 2026 by Basil Puglisi Leave a Comment

Why AI constitutional authority cannot rest with one person. A governance specification proposing a nine-member committee for AI value formation at Anthropic.

No Single Mind Should Govern What AI Believes (PDF) Summary: Are we building AI for humanity, or are we building AI for dominance? We need the answer to that question so we know where we stand. On the same day the Wall Street Journal profiled the single philosopher shaping Claude’s values, Anthropic’s safeguards research lead […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Business, Data & CRM, Digital & Internet Marketing, Thought Leadership, White Papers, Workflow Tagged With: AI constitution, AI ethics, AI Governance, AI provider plurality, AI safety, AI value formation, Amanda Askell, Anthropic, Checkpoint-Based Governance, Claude AI, constitutional committee, epistemic coverage, Geoffrey Hinton, GOPEL, HAIA-RECCLIN, Mrinank Sharma, multi-AI validation, WEIRD bias

HAIA-RECCLIN: Agent Governance Architecture an Audit-Grade Multi-AI Collaboration for EU Regulatory Compliance Edition

February 6, 2026 by Basil Puglisi Leave a Comment

Three-layer architecture diagram showing Regulatory Obligation (EU AI Act, prEN 18286, NIST AI RMF) at top, Operational Governance (HAIA-RECCLIN, the layer nobody built) in the middle highlighted in teal with golden accent, and AI Platforms (Claude, ChatGPT, Gemini, Grok, Perplexity) at bottom, with dashed arrows indicating evidence flow between layers.

A Working Paper — EU Regulatory Compliance Edition, February 2026 This is the Spec / Architecture PDF for this Agent (EU Compliance Edition) Abstract Organizations deploying multi-AI workflows face a structural governance gap: orchestration frameworks route tasks between AI platforms, but no published framework provides the accountability, audit trail architecture, provider plurality, automation bias detection, […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Thought Leadership, White Papers

Council for Humanity

February 2, 2026 by Basil Puglisi Leave a Comment

A Three-Layer Governance Architecture for AI Constitutional Authority, National Sovereignty, and Species-Level Defense *updated 2/21/2026 PDF Here Abstract The most capable AI systems on earth are governed by individual constitutional authority. One person, or a small team reporting to one person, writes the values that shape how these systems interact with billions of users across […]

Filed Under: AI Artificial Intelligence, AI Thought Leadership, Conferences & Education, Events & Local, Thought Leadership, White Papers, Workflow Tagged With: AI Governance, AI provider plurality, AI value formation, Checkpoint-Based Governance, constitutional committee, Council for Humanity, digital resilience, epistemic diversity, GOPEL, HAIA-RECCLIN, national sovereignty, superintelligence defense

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