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Basil C. Puglisi

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Conferences & Education

The Continued Failure in AI Literacy: AILit produced a starting point halfway through the race and called theory a framework

June 21, 2026 by Basil Puglisi Leave a Comment

An open classroom doorway leads to a checkpoint gate, a low marker beneath a dashed floor line and a taller gate above.

A new OECD and European Commission framework will shape how a generation learns to use AI, and it feeds the PISA 2029 assessment. It names the method that produces learning, and then it makes every step toward that method optional. Read why that choice matters, and what a checkpoint that actually binds a decision requires.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI Governance, AI Literacy, AILit Framework, Checkpoint-Based Governance, cognitive offloading, education policy, EU AI Act, human oversight, OECD, PISA 2029

Fault-Based Publication Ethics: The Case for Source Custody in an Era of AI Citation Contamination

June 3, 2026 by Basil Puglisi Leave a Comment

Flowchart showing how a citation enters a manuscript, propagates through downstream papers, and contaminates the record.

Fabricated citations in biomedicine increased tenfold in three years, and 98.4% of flagged papers remain uncorrected. The automated enforcement wave is arriving, but it carries false-positive rates that hit honest authors hardest. This working paper proposes a five-level fault ladder and a Source Provenance Ledger that makes verification effort visible, producible on challenge, and driven by market adoption rather than mandates.

Filed Under: AI Artificial Intelligence, AI Governance, Conferences & Education, Multi-AI Governance, Policy & Research, PR & Writing, Publishing, Thought Leadership, Working Papers Tagged With: AI Governance, citation contamination, fabricated citations, fault-based publication ethics, HAIA-SCOPE, hallucinated citations, publication integrity, reference rot, Source Provenance Ledger, SSRN

Stop Blaming AI for What the Education System Abandoned

June 1, 2026 by Basil Puglisi Leave a Comment

Flow diagram showing how unstructured AI deployment produces homogenized output blamed on AI.

AI did not make student writing less creative. Unstructured deployment without method governance did. A data-supported op-ed walks through 372,793 essays, Senate testimony, and a psychometric study that names the student as the problem without ever measuring whether the institution provided governed deployment.

Filed Under: AI Governance, Augmented Intelligence, Conferences & Education, Educational Activities, Multi-AI Governance, Thought Leadership, Workflow Tagged With: AI creativity, AI Governance, disjunctive homogenization, education technology, Horvath Senate testimony, Human-AI Collaboration, metacognitive laziness, method governance

Why AI Cannot Govern AI: Beyond Models to Multi-AI Platforms

April 4, 2026 by Basil Puglisi Leave a Comment

Four-layer AI governance stack diagram showing preservation failure altitudes from same-family oversight through human checkpoint authority

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 […]

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI provider plurality, AI safety, CAIPR, Checkpoint-Based Governance, frontier models, GOPEL, human oversight, multi-AI oversight, peer-preservation, Responsible AI

Empire of Evidence: Testing Karen Hao’s Claims Against the Governance Infrastructure They Require

March 28, 2026 by Basil Puglisi Leave a Comment

White paper examining Karen Hao Empire of AI claims against AI governance infrastructure including AI Provider Plurality and Economic Override Pattern

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 […]

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI data centers, AI Governance, AI Policy, AI provider plurality, AI Regulation, AlphaFold, checkpoint based governance, data annotation, Diary of a CEO, Economic Override Pattern, Empire of AI, GOPEL, HAIA, HAIA-CAIPR, Karen Hao, multi-AI governance, openai, Responsible AI, Timnit Gebru, Waymo

From AI Policy to Financial System Design What US Dept of Treasury’s AI Innovation Series Actually Signals

March 27, 2026 by Basil Puglisi Leave a Comment

Layered illustration showing policy documents, shared frameworks, and a convening table representing Treasury's AI sequence

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 […]

Filed Under: AI Artificial Intelligence, AI Governance, Business, Business Networking, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI provider plurality, AI risk management framework, Checkpoint-Based Governance, concentration risk, Factics, financial services AI, financial stability, Financial Stability Board, FSOC, GAO AI report, GOPEL, Responsible AI, SEC AI oversight, three-tier governance distinction, Treasury AI Innovation Series, White House AI Action Plan

From Literacy to Labor Market Architecture: What the Department of Labor’s AI Announcement Actually Builds

March 26, 2026 by Basil Puglisi Leave a Comment

Smartphone showing "READY" text message connected by lines to three rising policy documents and a U.S. map with active nodes.

The DOL Make America AI Ready initiative launched the public facing first mile of a worker first AI workforce agenda, connecting the AI Literacy Framework, America’s Talent Strategy, and the White House AI Action Plan into a single operational delivery stack. The Department of Labor’s March 24, 2026 announcement looks small on the surface. A […]

Filed Under: AI Artificial Intelligence, AI Governance, Conferences & Education, Educational Activities, Mobile & Technology, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Action Plan, AI Governance, AI Literacy, AI Workforce Readiness, America's Talent Strategy, checkpoint based governance, Department of Labor, Make America AI Ready, NSF AI Ready America, WIOA, Workforce Development

Measuring Augmented Intelligence

February 24, 2026 by Basil Puglisi 1 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, Conferences & Education, Design, Multi-AI Governance, 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 6 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, Code & Technical Builds, Conferences & Education, Data & CRM, Design, Multi-AI Governance, 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

The Great AI Language Collapse: Why Marketing Is Killing Accountability

February 5, 2026 by Basil Puglisi 1 Comment

Most AI titles and terms being used right now are dead wrong. That should scare us more than the technology itself. What passes for authority today is often confidence without structure. A dangerous flattening is happening in plain sight. Operational requirements turn into marketing slogans, and accountability quietly disappears with the language. Clarity of language […]

Filed Under: AI Artificial Intelligence, Branding & Marketing, Business, Conferences & Education, Digital & Internet Marketing, Multi-AI Governance, Thought Leadership Tagged With: AI accountability, AI Audit, AI Branding, AI compliance, AI ethics, AI Governance, AI Language Collapse, AI oversight, AI Procurement, Anthropic, Authority Laundering, Checkpoint-Based Governance, Constitutional AI, Ethical AI, EU AI Act, Governance Gap, HAIA-RECCLIN, Human-Centric AI, Human-in-the-Loop, Identity Binding, prEN 18286, Responsible AI, Trustworthy AI

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