Third Edition for Human AI Governance Get the PDF Here Executive Summary HAIA-RECCLIN is an operational methodology for governing AI output through structured human oversight. It comprises two capabilities: Reasoning, a ten-field output format that forces any AI platform to show its work, cite its sources, score its own confidence, flag its own conflicts, and […]
HAIA-RECCLIN
AI Governance Has No Formal Definition. Here Is One.
No standards body has defined AI Governance. No regulation locks it. After reviewing every major framework, here is the definition the field is missing. The phrase “AI Governance” appears in international treaties, executive orders, corporate reports, and academic handbooks. More than 40 countries have adopted governance principles through the OECD. The European Union built an […]
HAIA: Human Artificial Intelligence Assistant
The Name Given to the Ecosystem for Human-AI Collaboration (PDF) What It Is, Why It Exists, Where It Comes From Executive Summary HAIA stands for Human Artificial Intelligence Assistant. It is the ecosystem that structures a human’s interaction with AI, specifically with large language models, across every stage of collaboration: how the AI is instructed, […]
GOPEL v1.5: The Non-Cognitive Governance Layer That Automates Without Thinking
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 […]
HAIA-CAIPR: Cross AI Platform Review
A Governance Protocol for Human Orchestration of Parallel Multi-AI Execution From the Author of Governing AI: When Capability Exceeds Control What This Is Eight months of daily work across eleven AI platforms produced one clear lesson: the hardest governance problems in multi-AI work are not inside any single AI. They live in the space between […]
Why GOPEL Now Has Post-Quantum Cryptography and Confidential Processing
Where This Fits GOPEL (Governance Orchestrator Policy Enforcement Layer) sits in the middle of a four-layer adoption ladder built over three years of operational practice: Factics provides the foundational methodology connecting facts to tactics and measurable outcomes. HAIA-RECCLIN provides the seven-role framework for human-AI collaboration with distributed authority across multiple AI platforms. HAIA-CAIPR provides the […]
What 34 Reports Actually Told Us About AI: The Truth Behind the Hype, the Proof, and the Path Forward
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 […]
Measuring Augmented Intelligence
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 […]
GOPEL: The Code Behind the Policy
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 […]
Training AI for Humanity:
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), […]