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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Augmented Intelligence

Superintelligence Has Authors, the US Government Is Not One of Them

October 3, 2026 by Basil Puglisi Leave a Comment

AI-generated image of President Trump and tech executives at a table while faded researchers with question marks stand behind

President Trump renamed artificial intelligence after a mind no one has built.

Executive Order 14434 gives today’s ordinary AI the name researchers reserved for an intellect beyond ours, and the minds who defined that word were not in the room. Basil C. Puglisi traces superintelligence from Turing and Good to Bostrom and shows how the order skips the AGI rung. The rename is a bad joke if superintelligence is far off and dangerous if the fears are right.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow Tagged With: AI Governance, AI Industrialist, AI Policy, artificial general intelligence, Augmented Intelligence, Ban Artificial Superintelligence Act, Basil Puglisi, Checkpoint-Based Governance, Economic Override Pattern, Executive Order 14434, I. J. Good, Nick Bostrom, Super Intelligence, superintelligence, White House Accord on Super Intelligence

What Is “Verified AI”?

September 23, 2026 by Basil Puglisi Leave a Comment

Diagram of Verified AI across Ethical AI, Responsible AI, and AI Governance, ending in the practitioner definition

Verified AI is not a settled category, and its history explains why.

This working paper traces the term from the verification of knowledge-based systems in 1988 through the 2016 formal definition, shows how that concept shaped the HAIA Ecosystem, and sets out a practitioner definition built on records a human can review and accept. It closes with the 2026 trend and how the Proof-of-Control standard contrasts with it.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Data & CRM, Enterprise AI, Multi-AI Governance, Policy & Research, PR & Writing, Thought Leadership, Workflow, Working Papers Tagged With: agent identity, AI assurance, AI Governance, AI verification, Checkpoint-Based Governance, content provenance, formal methods, HAIA-CARCS, hardware attestation, proof of control, Proof-of-Control, Responsible AI, TEVV, verification and validation, Verified AI

What AI Transformation Actually Requires

September 21, 2026 by Basil Puglisi Leave a Comment

Infographic contrasting Responsible AI automation under human observation with Checkpoint-Based Governance

AI products can be purchased. AI transformation has to be built.

This paper reframes fifteen commonly cited requirements for AI transformation as operational management requirements, from data provenance and purpose to decision traceability and value realization. It shows why automation and observation cannot serve as the sole control on consequential work, and how named human checkpoints close that gap.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Business, Business Networking, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow Tagged With: AI accountability, AI Governance, AI transformation, Automation Bias, Checkpoint-Based Governance, decision traceability, enterprise AI, EU AI Act Article 14, Human In the Loop, human oversight, ISO/IEC 42001, NIST AI RMF, Responsible AI

The AI HOAX Distraction: Safety, Money, and Why You Can’t Tell Which Is Driving

September 17, 2026 by Basil Puglisi 3 Comments

Dark server monolith looms over a crowd under a WE THE PEOPLE banner while two groups argue from money piles

Six positions in nine days, and every one of them fits the speaker’s balance sheet.

In September 2026 four frontier labs called for a slowdown, the President called the whole thing a hoax, and two of the largest companies in AI said the market already handles it. This piece argues the slowdown is not evidence that governance is working. It is evidence that economic incentives are still in charge, with the sign flipped. Readers get the dated exposure curve behind the calls, the reason liability cannot currently steer, and a narrower proposal than pacing the frontier.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Code & Technical Builds, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI Insurance, AI Liability, AI Policy, AI Regulation, AI safety, Checkpoint-Based Governance, Dario Amodei, Economic Override Pattern, EU AI Act, product liability, provider plurality

The Standard of Care: How NIST and ISO Are Turning Voluntary AI Governance Into a Liability Defense

June 8, 2026 by Basil Puglisi 2 Comments

Two voluntary AI standards are quietly becoming the line a court draws between reasonable and negligent. The NIST framework and ISO 42001 now carry legal and commercial weight, and the records that defend a claim are the same ones that compound an advantage. Here is where the exposure lands, and how to build the record before you need it.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Data & CRM, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow Tagged With: AI Governance, AI Insurance, AI Liability, AI Regulation, AI risk management, Checkpoint-Based Governance, ISO 42001, NIST AI Risk Management Framework, Standard of Care

Stop Blaming AI for What the Education System Abandoned

June 1, 2026 by Basil Puglisi 1 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

Did AI Write Magnifica Humanitas?Pope Leo XIV Was the Author,but What Was the Governance Method?

May 31, 2026 by Basil Puglisi 1 Comment

Open book reflected in a mirror with digital governance patterns, representing the convergence between papal moral teaching and AI governance frameworks.

The author ran Pope Leo XIV’s AI encyclical through an AI scanner, found it flagged as plagiarized and AI-generated, then proved both readings wrong through governed human analysis. A first-person account of frustration, recognition, dissent, and hope from a builder who discovered the Pope had reached the same diagnosis from a different authority.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Community Activities, Multi-AI Governance, Nonprofits & Fundraising, Policy & Research, Thought Leadership, Working Papers Tagged With: AI detection, AI Governance, AI provider plurality, AI scanner, authorship, Catholic social teaching, Checkpoint-Based Governance, encyclical, Factics, HAIA-RECCLIN, Human-AI Collaboration, Magnifica Humanitas, method governance, Originality.ai, Pope Leo XIV

The Inevitable Is a Choice: Testing Mo Gawdat’s FACE RIPS Forecast Across Two Interviews Against the Governance Architecture That Could Make It Optional

May 11, 2026 by Basil Puglisi 1 Comment

Architectural blueprint showing AI deployment cascade with named human checkpoint columns preventing dystopia phase

Mo Gawdat predicts 12 to 15 years of dystopia before AI becomes benevolent enough to save humanity. He says the transit corridor is inevitable. This paper tests every Gawdat claim against the published governance architecture that could prevent it. The dystopia is contingent, not foreordained, because the infrastructure to stop it already exists. The decade ahead will be shaped by which prediction the public frame adopts.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Business, Business Networking, Code & Technical Builds, Data & CRM, Design, Enterprise AI, Mobile & Technology, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow Tagged With: AGI 2026, AI dystopia, AI Governance, AI provider plurality, checkpoint based governance, Constitutional Wall, FACE RIPS, GOPEL, HAIA-CAIPR, Human Enhancement Quotient, Mo Gawdat, VAISA

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