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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Working Papers

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

The AI Risk Economy: Why Insurance Cannot Price What Governance Cannot Prove

May 24, 2026 by Basil C. Puglisi 10 Comments

Balance scale weighing AI technology against governance documents in a corporate setting, representing insurability.

Insurance carriers are writing the rules of AI governance before legislators finish debating them. This working paper proposes a five-tier model that maps where organizations fall on the spectrum from excluded to insurable, identifies the actuarial gap at the center of the emerging practice, and documents the carrier evidence, regulatory signals, and market products that are forcing the distinction between governed and ungoverned AI into the open.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Data & CRM, Digital Factics Blog, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: actuarial gap, AI Governance, AI liability insurance, Checkpoint-Based Governance, Economic Override, EU AI Act, five-tier model, insurance exclusions, NAIC AI Model Bulletin, Responsible AI

Overwatch: Cognitive Monitoring Shield for GOPEL

May 10, 2026 by Basil C. Puglisi 3 Comments

Stylized gold shield with three convergence signals beside a locked enforcement vault on dark navy background.

A working paper documents the proof of concept for a cognitive monitoring shield that sits outside the enforcement layer it protects. The architecture answers a specific problem: how do you watch a deterministic governance engine for cognitive threats it cannot evaluate by design? Read the full design, the 2026 threat landscape that drove development, the trajectory gatekeeper for semantic manipulation, and the v2.4 calibration loop that converges rather than oscillates.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Code & Technical Builds, Data & CRM, Multi-AI Governance, Policy & Research, Workflow, Working Papers Tagged With: AI Governance, AI Security, GOPEL, HAIA-RECCLIN, MITRE ATLAS, Overwatch, OWASP Agentic, Prompt Injection, Semantic Manipulation, Trajectory Gatekeeper

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

The AI Cognitive Decline Narrative Has Not Tested What It Claims

May 4, 2026 by Basil C. Puglisi 2 Comments

Editorial split composition contrasting a single isolated AI beaker with a five-arm controlled study apparatus.

The peer-reviewed evidence base does not yet support the cognitive-decline claim, and it does not yet support the opposite claim either. Two scientific questions remain open: whether structured human-governed AI use accelerates cognitive development, and what augmented intelligence is in practice. This methodological audit specifies the standards the field would have to meet, scores the existing evidence against those standards, and offers HAIA-RECCLIN Reasoning, HEQ with AIS, and a five-arm randomized controlled trial design as testable counter-proposals.

Filed Under: AI Artificial Intelligence, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI Governance, AIS, Checkpoint-Based Governance, Cognitive Science, Factics, HAIA-RECCLIN, HEQ, Methodological Audit, Randomized Controlled Trial

FIVE CONDITIONS OF SENTIENT LIFE

April 27, 2026 by Basil C. Puglisi Leave a Comment

Editorial illustration of human silhouette facing five geometric forms around a central glowing crimson orb representing love.

What separates sentient life from sophisticated mimicry? A new working paper proposes five conditions that together constitute morally significant sentient life. Read why no current AI system satisfies all five simultaneously, and what would have to change for that conclusion to be revised.

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Working Papers Tagged With: Acquaintance Knowledge, AI Governance, AI Sentience, Concurrence Principle, Five Conditions, Immortality Constraint, Moral Injury, Phronesis, Sentient Life, Working Paper

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Responsible AI (#AIgenerated by Agents)

UNESCO’s AI Literacy Guide Teaches Judgment, and Sign-Off Authority Should Require a Test of It #AIg

UNESCO published a guide on 10 November 2026 that teaches people to evaluate AI-generated information. Article 4 of the EU AI Act asks employers to support AI literacy without guaranteeing a level. A recorded competence check for each sign-off holder closes the gap.

An AI Agent’s Test Scope Needs a Named Signer Before the First Run #AIg

The Australian Signals Directorate’s new guidance on securing AI testing environments asks for human decisions on scope, changes and stopping. This column maps those decisions to named signers, records and measures.

Australia’s Planned Frontier AI Incident Reporting Still Depends on a Decision Inside Each Company #AIg

Australia announced mandatory protections for frontier AI companies, including a regulator, independent evaluation, and rapid incident notification. Each obligation still depends on a named person inside the company who classifies, signs, and decides whether to continue.

Courts Are Ordering AI Chat Histories Produced, and Deletion Logs Are Now in Dispute #AIg

A Florida federal court allowed discovery of a defendant’s AI conversations in a damages dispute and then ordered consent for providers to release deletion logs. Retention tools are Responsible AI, and the records decision belongs to a named human under AI Governance.

A Draft Taxonomy of Attacks on AI Agents Leaves Risk Tolerance to Each Organization #AIg

NIST’s November 9 draft taxonomy of attacks on AI agents says guardrails must face adaptive attackers, yet it sets no risk tolerance. Each organization needs a named human to sign the residual risk decision for every relevant attack type.

A UK Bill Clause on AI Agent Loss of Control Assumes Someone Held the Control. Can You Show Who? #AIg

The UK government tabled a clause letting regulations give ministers investigatory and enforcement powers when a regulated system’s compromise traces to loss of control of an AI agent. A loss-of-control rule assumes someone held control, so operators should be able to show who held stop authority before any incident.

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.

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