Nine judges carry two votes’ worth of information. Run the same task across many AI platforms and the agreement that comes back may be a shared blind spot rather than a finding. HAIA-CAIPR is the governance framework for orchestrating that comparison so it produces evidence instead of confidence. It sets nine invariants, five configuration variables that each name what they cost, and a named human who reads the raw returns before anyone decides.
multi-AI governance
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 […]
Empire of Evidence: Testing Karen Hao’s Claims Against the Governance Infrastructure They Require
A Governance Practitioner’s Examination of the Diary of a CEO Interview and Empire of AI A journalist with engineering training spent eight years investigating the AI industry and concluded that the major companies operate as empires. A governance practitioner who builds open-source infrastructure for the same industry watched the two-hour interview where she made that […]
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 […]
Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration
Human oversight is the phrase everyone uses, and almost nobody defines what it requires. Checkpoint-Based Governance sets four conditions that separate a human who reviewed from a human who decided, and it puts that difference in the record. Read what a checkpoint has to do to count.
Nobody Built the Governance Layer Between Compliance and AI
The AI That Said “Check My Work,” and the Ten Platforms That Confirmed It In brief: During development of a multi-AI governance framework, the primary AI platform claimed the architecture was unique. The methodology required verifying that claim across ten independent platforms. No platform found a comparable published architecture. During retesting, one platform fabricated evidence […]