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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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human oversight

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 C. Puglisi 3 Comments

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

The Oldest AI Law Is Already Being Enforced: GDPR and the Automated Decision

June 14, 2026 by Basil C. Puglisi 1 Comment

GDPR Article 22 decision split, rubber stamp falls under the prohibition while meaningful human review produces the record.

Most organizations treat GDPR as a cookie-banner problem settled years ago. It is the oldest law on the books that directly governs automated decisions about people, and in 2026 it is one of the most active. This unit maps the Article 22 exposure, the SCHUFA ruling, the 2026 enforcement action, and the records that turn the risk into a defensible position.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research Tagged With: AI Governance, Article 22, automated decision-making, data protection, EU AI regulation, GDPR, human oversight, SCHUFA

CARCS: Compliance Accountability Record & Case Study

April 23, 2026 by Basil C. Puglisi 5 Comments

CARCS governance record showing fragmented AI session traces resolving into a structured ten-section audit record through a human checkpoint.

AI work leaves plenty of trace. The problem is that those traces are scattered across platforms, organized around conversation flow, and not structured around the questions an audit actually asks. CARCS closes that gap with a ten-section governed record built from a three-part prompt suite. It works on any AI platform. Named human sign-off is required before finalization. This working paper releases the protocol for feedback and collaboration from governance practitioners, compliance officers, and researchers.

Filed Under: AI Artificial Intelligence, AI Governance, Compliance Accountability Record & Case Study, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers Tagged With: AI documentation protocol, AI Governance, audit trail, CARCS, Checkpoint-Based Governance, compliance documentation, EU AI Act, HAIA, HAIA-CARCS, Heppner ruling, human oversight, SHA-256, Working Paper

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

April 4, 2026 by Basil C. 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

AI Governance Has No Formal Definition. Here Is One.

March 14, 2026 by Basil C. Puglisi 5 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

When AI Acts Between Approvals: The Gap Everyone Sees and No One Has Closed

February 28, 2026 by Basil C. Puglisi 1 Comment

Governance gap between AI recommendation and autonomous action, showing two bridge platforms separated by unmonitored digital data flows representing the L1 to L2 autonomy transition

The governance gap in agentic AI is no longer a secret. UC Berkeley published 67 pages on it earlier this month. The World Economic Forum addressed it in 2024. Singapore’s Cyber Security Agency released agentic AI guidance in late 2025. Industry practitioners are writing about it on LinkedIn. The problem has a name, a growing […]

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Multi-AI Governance, Thought Leadership Tagged With: agentic AI, AI Governance, Basil Puglisi, Checkpoint-Based Governance, EU AI Act, GOPEL, human oversight, NIST AI RMF, provider plurality, UC Berkeley CLTC

Training AI for Humanity: Superintelligence

February 21, 2026 by Basil C. Puglisi Leave a Comment

AI governance, superintelligence, first contact, epistemic diversity, WEIRD bias, AI value formation, constitutional authority, multi-AI collaboration, human oversight, checkpoint-based governance, temporal inseparability, HAIA-RECCLIN, Council for Humanity, monoculture AI, AI alignment, Basil Puglisi, training window, representational failure, epistemic coverage, AI safety

The people training AI today are building the foundation for whatever comes next, and the teams doing that work lack the epistemic coverage to represent the species. This working paper by Basil C. Puglisi treats AI value formation as humanity’s first contact preparation and proposes the Council for Humanity as one governance architecture. It closes with three tiers of action for AI developers, the United States, and humanity as a species.

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership, White Papers Tagged With: AI alignment, AI Governance, AI value formation, Basil Puglisi, Checkpoint-Based Governance, constitutional authority, Council for Humanity, epistemic coverage, epistemic diversity, first contact, HAIA-RECCLIN, human oversight, monoculture AI, multi-AI collaboration, representational failure, superintelligence, temporal inseparability, training window, WEIRD bias

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

A CONSTITUTION IS NOT GOVERNANCE

January 26, 2026 by Basil C. Puglisi Leave a Comment

White paper analyzing Anthropic's Claude Constitution as Ethical AI rather than AI Governance. Introduces Checkpoint-Based Governance (CBG) framework for structural oversight of agentic AI systems.

Anthropic’s constitution for Claude is a serious Ethical AI document, but it is not AI Governance. This white paper by Basil C. Puglisi separates Ethical AI, Responsible AI, and AI Governance and shows where the constitution stops short of human oversight. It closes with a Minimum Viable Governance Annex template that organizations can adopt.

Filed Under: AI Artificial Intelligence, Business Networking, Content Marketing, Data & CRM, Digital & Internet Marketing, Multi-AI Governance, Thought Leadership, White Papers Tagged With: agentic AI, AI governance vs ethics, AI safety, Anthropic, Checkpoint-Based Governance Secondary: HAIA-RECCLIN, Claude Constitution, Constitutional AI, Corrigibility, Enterprise AI Risk Long-tail: Claude Constitution analysis, Ethical AI, EU AI Act, human oversight, human-AI collaboration framework, Primary: AI Governance

The Real AI Threat Is Not the Algorithm. It’s That No One Answers for the Decision.

October 18, 2025 by Basil C. Puglisi Leave a Comment

AI ethics danny reagan boston blue

When Detective Danny Reagan says, “The tech is just a tool. If you add that tool to lousy police work, you get lousy results. But if you add it to quality police work, you can save that one life we’re talking about,” he is describing something more fundamental than good policing. He is describing the […]

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership Tagged With: 200-1, 500) Additional visual elements (pull quotes, 800 words; some op-ed venues prefer 1, AI accountability, AI decision-making, algorithmic accountability act, checkpoint governance, COMPAS algorithm, EU AI Act, facial recognition bias, further revision, human oversight, subheads

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Responsible AI (#AIgenerated by Agents)

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.

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.

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