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Policy & Research

The Standard of Care: How NIST and ISO Are Turning Voluntary AI Governance Into a Liability Defense

June 8, 2026 by Basil Puglisi Leave a Comment

Two voluntary AI standards are quietly becoming the line a court draws between reasonable and negligent. The NIST framework and ISO 42001 now carry legal and commercial weight, and the records that defend a claim are the same ones that compound an advantage. Here is where the exposure lands, and how to build the record before you need it.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, AI Thought Leadership, Augmented Intelligence, Business, Data & CRM, Enterprise AI, Policy & Research, Thought Leadership, Workflow Tagged With: AI Governance, AI Insurance, AI Liability, AI Regulation, AI risk management, Checkpoint-Based Governance, ISO 42001, NIST AI Risk Management Framework, Standard of Care

Fault-Based Publication Ethics: The Case for Source Custody in an Era of AI Citation Contamination

June 3, 2026 by Basil Puglisi Leave a Comment

Flowchart showing how a citation enters a manuscript, propagates through downstream papers, and contaminates the record.

Fabricated citations in biomedicine increased tenfold in three years, and 98.4% of flagged papers remain uncorrected. The automated enforcement wave is arriving, but it carries false-positive rates that hit honest authors hardest. This working paper proposes a five-level fault ladder and a Source Provenance Ledger that makes verification effort visible, producible on challenge, and driven by market adoption rather than mandates.

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Conferences & Education, Policy & Research, PR & Writing, Publishing, Thought Leadership, Working Papers Tagged With: AI Governance, citation contamination, fabricated citations, fault-based publication ethics, HAIA-SCOPE, hallucinated citations, publication integrity, reference rot, Source Provenance Ledger, SSRN

SCOPE: SOURCE CUSTODY OBSERVABLE PUBLICATION EVIDENCE

June 2, 2026 by Basil Puglisi Leave a Comment

a vertical flowchart showing the three SCOPE tiers with their fields, time estimates, and evidentiary strength ratings. This visualizes the core implementation decision the reader faces.

Your citations are only as strong as the record behind them. HAIA-SCOPE is a three-tier documentation protocol that records what you verified, when you verified it, and where the preserved copy lives. The record stays private until you need it. When automated enforcement flags your work or a reviewer challenges a citation, only the author who maintained a SCOPE record can produce one.

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Policy & Research, PR & Writing, Publishing, Thought Leadership, Working Papers Tagged With: AI Governance, citation verification, evidentiary record, fault-based publication ethics, HAIA-CARCS, HAIA-SCOPE, publication integrity, reference rot, source custody, Source Provenance Ledger

Did AI Write Magnifica Humanitas?Pope Leo XIV Was the Author,but What Was the Governance Method?

May 31, 2026 by Basil Puglisi Leave a 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, AI Thought Leadership, Augmented Intelligence, Community Activities, 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 Puglisi Leave a Comment

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, AI Thought Leadership, Basil's Blog #AIa, Business, Data & CRM, Enterprise AI, 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

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 Puglisi Leave a 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, AI Thought Leadership, Augmented Intelligence, Business, Business Networking, Code & Technical Builds, Data & CRM, Design, Enterprise AI, Mobile & Technology, 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

Overwatch: Cognitive Monitoring Shield for GOPEL

May 10, 2026 by Basil Puglisi Leave a Comment

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, AI Thought Leadership, Business, Code & Technical Builds, Data & CRM, 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

The Other AI: Augmented Intelligence and the Honest Future of Human-AI Collaboration

May 7, 2026 by Basil Puglisi Leave a Comment

Dark editorial cover reading "The Other AI: Augmented Intelligence" with author Basil C. Puglisi

Every generation runs the same play: political extremes, social binaries, and now AI everything versus stop AI. Fear drives the binary and the binary drives the wrong question.
The question is not whether to use AI. Three years of building operational governance architecture, tested across eleven platforms and submitted to Congress, produced a different answer: who governs the method?
This paper is that answer: Augmented Intelligence as governance discipline, not product. Eight thousand words of framework, evidence, and invitation to challenge.

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Policy & Research, Thought Leadership Tagged With: ai-governance, augmented-intelligence, basil-puglisi, CAIPR, checkpoint-based-governance, cognitive-decline-ai, economic-override-pattern, GOPEL, haia-framework, HAIA-RECCLIN, heq-ais, human-ai-collaboration, karen-hao-empire-of-ai, method-governance, tristan-harris-ai

How Credentialed Professionals Shape Policy When Method Governance Is Stripped

May 6, 2026 by Basil Puglisi Leave a 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, AI Thought Leadership, Mobile & Technology, 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 Puglisi 1 Comment

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, AI Thought Leadership, Data & CRM, 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

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