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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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AI Policy

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

October 3, 2026 by Basil C. Puglisi 1 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

When AI Policy Becomes an Accessibility Barrier

September 25, 2026 by Basil C. Puglisi Leave a Comment

Timeline of key AI policy, disability law, and platform events from January 2025 through December 2026

If AI is a disability tool, are the rules restricting it unethical at best and illegal at worst?

This companion working paper maps which United States laws reach which institutions and classifies six types of AI policy risk, from outright bans to detection tools. It works a pending smart-glasses case, compares the EU AI Act, and closes with a model accommodation clause any institution can adopt.

Filed Under: AI Artificial Intelligence, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: accessibility, AI detection, AI disclosure, AI Governance, AI Policy, AIDA, Americans with Disabilities Act, anti-AI policy, Artificially Intelligent Disability Assistance, Checkpoint-Based Governance, disability law, EU AI Act, reasonable accommodation

Humans Are Optional When Defining AI Governance for ISO, According to the U.S. Technical Advisory Group

September 22, 2026 by Basil C. Puglisi 1 Comment

Side by side panels comparing the ISO DIS 21520 Clause 3.2 AI governance definition with the rejected human authority version

A standards body just wrote down that AI governance can exist without a human in control.

In September 2026 the U.S. TAG to ISO/TC 258 answered a public comment on the draft AI standard for project management. It accepted two editorial corrections and rejected the one that would have put binding human authority and attributable accountability inside the definition. This is the filing, the four reasons for the rejection, and why a definition without a governor fails the moral test the public is already applying.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI accountability, AI Governance, AI Governance Definition, AI Policy, AI Regulation, AI Standards, Checkpoint-Based Governance, human oversight, ISO 21520, ISO TC 258, public trust in AI, Responsible AI

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

September 17, 2026 by Basil C. Puglisi 4 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

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

March 28, 2026 by Basil C. Puglisi 1 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

AI Governance Has No Formal Definition. Here Is One.

March 14, 2026 by Basil C. Puglisi 4 Comments

A single human figure standing at a governance checkpoint with hand raised, halting a flowing stream of AI outputs. Five pillars representing international standards frameworks stand behind the figure. Navy and gold color palette in clean architectural editorial style.

No standards body has defined AI Governance. No regulation locks it. After reviewing every major framework, here is the definition the field is missing. The phrase “AI Governance” appears in international treaties, executive orders, corporate reports, and academic handbooks. More than 40 countries have adopted governance principles through the OECD. The European Union built an […]

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI accountability, AI compliance, AI ethics, AI Governance, AI Governance Defined, AI Governance Definition, AI Policy, AI risk management, AI Standards, Basil Puglisi, CBG, Checkpoint-Based Governance, Define AI Governance, EU AI Act, Governance Washing, HAIA-RECCLIN, human oversight, Human-AI Collaboration, ISO 37000, ISO 38507, ISO 42001, NIST AI RMF, OECD AI Principles, Responsible AI, UNESCO AI

HAIA: Human Artificial Intelligence Assistant

March 13, 2026 by Basil C. Puglisi 1 Comment

HAIA Ecosystem Architecture diagram showing the three-pillar structure with Factics as the evidentiary foundation on the left, HAIA as the central human-AI collaboration ecosystem containing RECCLIN Reasoning, RECCLIN Dispatch, HAIA-CAIPR, HAIA-Agent, and HAIA-GOPEL in layered order, CBG as human constitutional authority on the right, HEQ/AIS running parallel as a measurement track, HAIA-CORE and HAIA-SMART as content quality tools beneath, and a feedback loop arrow returning from HEQ back to Factics

HAIA stands for Human Artificial Intelligence Assistant, the ecosystem that structures a human’s interaction with AI across every stage of collaboration. This March 2026 white paper by Basil C. Puglisi explains what HAIA is, why it exists, and what problems it addresses. It walks through the three-pillar architecture, each component, the adoption ladder, and the chain of discovery from 2012 to 2026.

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Content Marketing, Data & CRM, Design, Multi-AI Governance, Policy & Research, Press Releases, Thought Leadership, White Papers, Workflow Tagged With: AI ethics, AI Governance, AI Policy, AI provider plurality, CAIPR, Checkpoint-Based Governance, Factics, GOPEL, HAIA, HAIA-RECCLIN, HEQ, Human-AI Collaboration, Multi-AI, Responsible AI

Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration

March 10, 2026 by Basil C. Puglisi 5 Comments

Checkpoint-Based Governance CBG v5.0 constitutional framework infographic showing four constitutional properties, the decision loop, HAIA stack position, and Asimov harm boundary. Intellectual property of Basil C. Puglisi, MPA.

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.

Filed Under: AI Artificial Intelligence, AI Governance, Checkpoint-Based Governance, Code & Technical Builds, Content Marketing, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers, Workflow Tagged With: AI accountability, AI Framework 2026, AI Governance, AI oversight, AI Policy, AIS, Asimov, Basil Puglisi, CAIPR, CBG, Checkpoint-Based Governance, Constitutional AI, GOPEL, HAIA, HEQ, Human In the Loop, Human-AI Collaboration, multi-AI governance, RECCLIN, Responsible AI

The U.S. Government Will Need to Seize AI Platforms and Data Centers if We Do Not Act

March 1, 2026 by Basil C. Puglisi Leave a Comment

When Extinction Odds Meet National Security Logic, the Question Is Not Whether Government Acts but How

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 […]

Filed Under: AI Artificial Intelligence, AI Governance, Business, Code & Technical Builds, Mobile & Technology, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI Infrastructure, AI Policy, AI provider plurality, AI Regulation, AI safety, Anthropic, Checkpoint-Based Governance, Economic Override Pattern, Federal Policy, Frontier AI, Geoffrey Hinton, GOPEL, Human-AI Collaboration, National Security, openai, Pentagon, Public Infrastructure, Supply Chain Risk, Surveillance

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Responsible AI (#AIgenerated by Agents)

A New Jersey Bill Takes Reasonable Care Off the Table for Chatbot Injuries #AIg

New Jersey’s A5607, reported out of committee on October 19, would make a chatbot a product and hold its provider liable for any injury to a user from its use, even after all reasonable care. The monthly harm assessment it requires still needs a named person to decide what the numbers mean.

Europe Proposes Free Access to the Standards Behind AI Act Compliance #AIg

The European Commission proposed on October 6 to make standards referenced in EU law free to read, speed up how they are requested and assessed, and write its own common specifications when standards bodies run late. With EN 18286 now the first AI Act standard, the question is what a faster standard can certify.

New York City Wants a One-Step Exit From Every Customer Service Chatbot #AIg

New York City’s consumer agency proposed rules on October 20 for AI chatbots and phone menus: disclose the bot up front, offer a one-step path to a human, and keep logs showing whether customers got help. The 72-hour repeat-contact count may matter most.

Barclays and Amex Cut 5% Each for AI. Neither Said Who Will Check the Work #AIg

Barclays plans about 5,000 job cuts with fewer developers as AI lifts productivity, and American Express is cutting about 5% of positions to prepare for AI. Wider spans of control and fewer reviewers meet more AI output. Four questions to answer before an AI-justified cut.

Libraries Put “Whether” Into AI Literacy. Most Training Plans Skip That Question #AIg

The Public Library Association and Microsoft wrote ‘whether’ into AI literacy: people need judgment to decide whether, when and how to use AI tools. Other October programs teach the how first. For the public, deciding whether is the first and often only checkpoint.

Agent Security Tools Can Stop an Action. Whose Name Is on the Yes? #AIg

Four agent security launches in two days put brakes, monitors, and quarantines on AI agents. Only iProov’s HAPS service is built to prove a named person approved one exact action, and its spec is still an experimental draft. Containment is Responsible AI; a recorded human decision is AI Governance.

GAO Found the Pentagon’s Responsible AI Council Stopped Meeting for Months #AIg

GAO found the Pentagon’s Responsible AI Working Council stopped meeting from late 2024 to August 2025, still has no charter, and has three of ten authorized staff. SBA’s AI governance board hadn’t met nine months past OMB’s deadline, and EPA’s Inspector General just opened an audit. Charter the body, log decisions, fund the chairs.

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