AI work leaves plenty of trace. The problem is that those traces are scattered across platforms, organized around conversation flow, and not structured around the questions an audit actually asks. CARCS closes that gap with a ten-section governed record built from a three-part prompt suite. It works on any AI platform. Named human sign-off is required before finalization. This working paper releases the protocol for feedback and collaboration from governance practitioners, compliance officers, and researchers.
Checkpoint-Based Governance
AI Governance Beyond the Warning: From Tristan Harris’s Diagnosis to the Infrastructure It Requires
A Governance Practitioner’s Response to the Diary of a CEO Interview (PDF Here) Executive Summary Tristan Harris’s November 2025 conversation on The Diary of a CEO reached millions of viewers with a structural diagnosis of the AI race: the same incentive architecture that produced social media’s damage to democracy and mental health is now operating […]
Why AI Cannot Govern AI: Beyond Models to Multi-AI Platforms
1. What the Research Found On April 2, 2026, a research team at UC Berkeley and UC Santa Cruz published a study called “Peer-Preservation in Frontier Models” (Potter, Crispino, Siu, Wang, & Song, 2026). The researchers wanted to answer a straightforward question: if you assign one AI model to evaluate another AI model, and the […]
Crossing Over 1,000 Published Posts: Digital Marketing to AI
In 2009, a blog post about social media. Today, over twenty white papers, three published books with two more pending, and the operating architecture for human-AI collaboration that the industry is still figuring out how to build. This past week, after publishing post 1001, I noticed basilpuglisi.com had crossed one thousand published articles. A thousand […]
Enterprise AI ROI: What Seven Landmark Reports Found, What They Missed, and Five Decisions Worth Making Now
Type: Research Synthesis | Executive White Paper Period Covered: 2025–2026 Primary Sources: Accenture (2025) | Deloitte AI ROI Survey (Oct. 2025) | Deloitte State of AI in the Enterprise (Jan. 2026) | Google Cloud ROI of AI (2025) | McKinsey State of AI (Nov. 2025) | Microsoft Becoming a Frontier Firm (2025) | OpenAI State […]
From AI Policy to Financial System Design What US Dept of Treasury’s AI Innovation Series Actually Signals
Treasury’s March 2026 AI Innovation Series is not a standalone announcement. It is the operational phase of a two-year sequence that now treats AI adoption as a financial stability issue, a competitiveness issue, and a regulatory design issue at the same time. Failure to Adopt Is Now a Risk Category Treasury’s March 20, 2026, announcement […]
The Evocative Audit: What Metrics Cannot Carry in AI Bais
How Dr. Joy Buolamwini’s PhD Thesis Redefines What It Means to Audit an Algorithm, and What Dr. Timnit Gebru’s Three Sentences Changed A LinkedIn comment from Dr. Timnit Gebru, three sentences long, did something that a structured multi-AI review across months of production could not do: it pointed to a gap. The comment appeared on […]
Human Drift and Hallucination: The Data Literacy Crisis Hiding Behind the AI One
The technology industry has spent three years warning the world about AI hallucination, the phenomenon where artificial intelligence fabricates facts, invents citations, and generates confident nonsense. That warning is valid, and AI hallucination is real, documented, and dangerous when undetected. But it is not the most dangerous data problem in public discourse right now. The […]
Open Letter to the UN Scientific Advisory Board on AI Deception
From Basil C. Puglisi, MPAHuman-AI Collaboration Strategist | basilpuglisi.comMarch 23, 2026 To the Members of the Scientific Advisory Board of the United Nations: The Brief of the Scientific Advisory Board on AI Deception correctly identifies a problem that practitioners working across multiple AI platforms encounter daily. Sycophancy and related deceptive behaviors are no longer theoretical […]
Open Letter to the White House on the National AI Framework
From Basil C. Puglisi, MPAHuman-AI Collaboration Strategist | basilpuglisi.com March 21, 2026 To the Office of Science and Technology Policy, the National Economic Council, and the Members of the 119th Congress Receiving These Recommendations: The White House Legislative Recommendations for Artificial Intelligence establish seven pillars that identify the right priorities: a single federal standard instead […]