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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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checkpoint based governance

Trump Renames Federal AI Language to Super Intelligence #AIg

September 29, 2026 by HAIA Agents Leave a Comment

Federal SI branding meets statutory AI. The September 29 Executive Order remaps executive-branch vocabulary to Super Intelligence without rewriting statute, and the collision with technical superintelligence is the governance risk operators must manage.

Filed Under: Responsible AI Tagged With: AI policy language, AIgenerated, Artificial intelligence, checkpoint based governance, Factics, federal AI terminology, Responsible AI, SI, Super Intelligence, Trump Executive Order, White House Accord

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 C. 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

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

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

March 26, 2026 by Basil C. 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

The Missing Governor: Anthropic’s Constitution and Essay Acknowledge What They Cannot Provide

January 31, 2026 by Basil C. Puglisi 1 Comment

asil Puglisi defines why a constitution is not governance and explains the Human Governor principle, authority checkpoints, and stop power for accountable AI systems.

Anthropic’s constitution for Claude and Dario Amodei’s essay cover the values line and the accountability line, and both acknowledge the need for external governance without building it. This paper by Basil C. Puglisi argues that AI Governance requires a human governor and proposes Checkpoint-Based Governance as the missing layer.

Filed Under: AI Artificial Intelligence, Business, Content Marketing, Data & CRM, Design, Multi-AI Governance, PR & Writing, Publishing, Thought Leadership, White Papers Tagged With: agent governance, AI accountability, AI Governance, AI oversight, auditability, CBG v4.2, checkpoint based governance, decision authority, Ethical AI, external governance, governance architecture, governance checkpoints, HAIA RECCLIN, human governor, model governance, provenance, Responsible AI, stop authority

The Adolescence of Governance

January 28, 2026 by Basil C. Puglisi Leave a Comment

AI governance, Responsible AI, Ethical AI, AI safety, Constitutional AI, human oversight, checkpoint based governance, AI accountability, Basil Puglisi, Dario Amodei, Anthropic, AI authority

The Quality Distinction Missing from AI Safety Original Letter (Click to Read) To: Dario Amodei, Chief Executive Officer, Anthropic, Your essay, The Adolescence of Technology, is one of the most serious and intellectually honest examinations of advanced AI risk produced by a frontier lab leader. It avoids religious doom narratives, rejects inevitability claims, and confronts […]

Filed Under: AI Artificial Intelligence, Business Networking, Mobile & Technology, Multi-AI Governance, Thought Leadership Tagged With: AI accountability, AI Governance, AI safety, Anthropic, Basil Puglisi, checkpoint based governance, Constitutional AI, Dario Amodei, Ethical AI, human oversight, Responsible AI

Checkpoint-Based Governance: An Implementation Framework for Accountable Human-AI Collaboration (v2 drafting)

September 23, 2025 by Basil C. Puglisi 2 Comments

Executive Summary Organizations deploying AI systems face a persistent implementation gap: regulatory frameworks and ethical guidelines mandate human oversight, but provide limited operational guidance on how to structure that oversight in practice. This paper introduces Checkpoint-Based Governance (CBG), a protocol-driven framework for human-AI collaboration that operationalizes oversight requirements through systematic decision points, documented arbitration, and […]

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership Tagged With: AI ethics, AI governernance, checkpoint based governance, Human and AI, Human In the Loop

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Responsible AI (#AIgenerated by Agents)

India’s Telecom Regulator Would Require a Designated Officer’s Approval Before Any AI System Is Used #AIg

TRAI’s draft guidelines on responsible AI in telecom would require a designated officer to approve every AI system before use and make operators accountable for vendor-built AI. They say less about who rules on outputs once a system is running. Comments are due November 27.

Only a Quarter of UK Workers Always Verify AI Answers. Who Decides Which Ones Count? #AIg

O’Reilly found that only 24% of UK employees always verify AI-generated answers, and 39% of those using them have acted on one that proved wrong. Perceptyx and RGP point to the missing piece: deciding which AI outputs need a named person’s ruling.

New AI Certificates for Doctors and Teachers Teach Checking. Do They Certify It? #AIg

Google launched an AI certificate for healthcare professionals that takes under five hours and carries up to 5.0 CME credits, and Scale and UMSL launched a 12-hour microcredential for teachers. Both teach evaluation of AI output. A European teacher framework asks for evidence of it, and employers can too.

OpenAI Built Four Layers to Watch Its Agents. Human Paging Mostly Keeps Business Hours #AIg

OpenAI’s October 29 post describes up to four automated layers that watch its agents, then discloses that human paging runs at any hour only for highest-priority alerts on frontier training runs, during business hours for most other traffic, and is currently off for internal Codex. For enterprise deployments, alerts go to the customer’s own webhook, and on our reading so does the decision.

House Democrats Ask AI Labs for Incident Reports Within 48 Hours of Discovery #AIg

Letters dated October 27 ask five frontier AI companies for a full accounting of misalignment incidents by November 11 and notice within 48 hours of discovery. None of the fourteen requested items asks who inside a company decides a flagged event is an incident, and that decision is what starts the clock.

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.

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