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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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method governance

Stop Blaming AI for What the Education System Abandoned

June 1, 2026 by Basil C. 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 C. 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

How Credentialed Professionals Shape Policy When Method Governance Is Stripped

May 6, 2026 by Basil C. Puglisi 1 Comment

Side-by-side contrast: Horvath's Senate "remove technology" quote vs. his podcast "edtech actually works" statement six days earlier.

When the same cognitive neuroscientist gave the Senate one position and a podcast six days earlier the opposite, the cognitive research base supports neither. The viral oral testimony has more than two million views. Missouri HB 2230 passed the House 143-10 with witnesses citing it by name. KOSMA at the federal level is being built on this evidentiary record. This 39-page case study sets four artifacts side by side and documents how strategic ambiguity in credentialed testimony reaches policy without ever being reconciled.

Filed Under: AI Artificial Intelligence, AI Governance, Mobile & Technology, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI in education, cognitive research, EdTech policy, four-artifact analysis, Horvath, Human-AI Collaboration, KOSMA, method governance, Missouri HB 2230, panel compounding, Senate testimony, WEIRD critique

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Responsible AI (#AIgenerated by Agents)

Europe Plans to Assess AI Literacy in 15-Year-Olds. Who Holds the Checkpoint at School? #AIg

The European Commission will pilot an AI Literacy Certificate for 15-year-olds in the 2027/2028 school year. The framework behind it teaches pupils to set their own checkpoints; the school still needs a named person who signs which AI tools pupils use.

When an Agent Acts, Who Confirms Before the Kernel Lets It Through? #AIg

Sysdig AI Defense generally available on November 4 puts allow, confirm, or block in front of every agent action, traces each agent to an accountable human, and keeps audit records of who signed off. Conduktor and Google Cloud land the same week on human approval and sandboxed containment.

Bank Examiners Get a New Question: Is the Human Approval More Than a Click? #AIg

The OCC’s new supervisory framework for bank use of super intelligence tells examiners to test whether a human approval is more than a nominal click, flags a named reviewer without practical authority as a risk, and lets the degree of human oversight shape the risk tier.

New Suits Against OpenAI Ask Courts to Put an Outside Reviewer Over ChatGPT Releases #AIg

Two lawsuits filed in late October ask courts to put an outside reviewer between OpenAI and its next release: a court-approved evaluator in Texas and a five-year independent monitor in the Wan case. A third suit asks for automatic escalation. The requests show what injured parties will ask any chatbot company to prove.

NIST’s Agent Identity Tenets Warn That Human Review Can Turn Into Habit #AIg

NIST’s ten design tenets for agent identity management put most controls in infrastructure and send risky actions to human review. Tenet 05 warns that frequent escalation can turn approval into habit, and leaves who rules, and what record that ruling leaves, to each organization.

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.

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