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 […]
The Loop That Ate the Governor
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 […]
The U.S. Government Will Need to Seize AI Platforms and Data Centers if We Do Not Act
The Warning, the Override, and the Infrastructure We Have Not Built When Extinction Odds Meet National Security Logic, the Question Is Not Whether Government Acts but How 1. The Warning That Changes State Logic A single probability estimate from a credible pioneer can change the posture of an entire state. Geoffrey Hinton, the 2024 Nobel […]
When AI Acts Between Approvals: The Gap Everyone Sees and No One Has Closed
The governance gap in agentic AI is no longer a secret. UC Berkeley published 67 pages on it earlier this month. The World Economic Forum addressed it in 2024. Singapore’s Cyber Security Agency released agentic AI guidance in late 2025. Industry practitioners are writing about it on LinkedIn. The problem has a name, a growing […]
Measuring Augmented Intelligence
This February 2026 working paper by Basil C. Puglisi introduces Human-AI Collaborative Intelligence (HACI) as the measurement science for augmented intelligence. The Human Enhancement Quotient (HEQ) is its four-dimension instrument, and the Augmented Intelligence Score (AIS) is the standardized composite output. The current version is Measuring the Governance Competence at the Center of AI Literacy.
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: Superintelligence
The people training AI today are building the foundation for whatever comes next, and the teams doing that work lack the epistemic coverage to represent the species. This working paper by Basil C. Puglisi treats AI value formation as humanity’s first contact preparation and proposes the Council for Humanity as one governance architecture. It closes with three tiers of action for AI developers, the United States, and humanity as a species.
A Governance Specification for AI Value Formation
No individual, however capable, can provide the epistemic coverage required for legitimate governance of AI systems affecting billions. This governance specification by Basil C. Puglisi proposes a nine-member constitutional committee modeled on the Supreme Court. Majority rules, and dissent is preserved for the AI to learn from. Its composition criteria span sustained life responsibility, transcendent belief, multilingual cognition, experiential education, and cultural range.
The AI Did It Will Not Protect You Legally
This article provides educational and strategic analysis only. It is not legal advice. The first article in this series follows the public reflex. A chatbot gives the wrong answer. A lawyer files fake citations. A facial recognition system flags the wrong person. A hiring system rejects qualified applicants. An automated process produces harm. Then the […]
HAIA-RECCLIN: Agent Governance Architecture an Audit-Grade Multi-AI Collaboration for EU Regulatory Compliance Edition
This working paper by Basil C. Puglisi presents HAIA-RECCLIN, a governance architecture for a non-cognitive agent that mediates between human operators and multiple independent AI platforms. The architecture enforces mandatory human checkpoints, append-only tamper-evident audit trails, provider rotation, and automation bias detection. This EU Regulatory Compliance Edition maps it to the EU AI Act, prEN 18286, ISO/IEC 42001, and the NIST AI RMF.