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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Human-AI Collaboration

Human-AI Collaboration Needs More Than a Human in the Loop

September 29, 2026 by Basil C. Puglisi 2 Comments

Timeline of human oversight and accountability from 1948 to 2024, then the Factics to CBG application to 2026

Human oversight of automated systems is older than AI, and current AI practice still falls short of it.

This paper traces human oversight and accountability from the cybernetics literature of 1948 to Article 14 of the EU AI Act, then separates Responsible AI from AI Governance. It sets out Checkpoint-Based Governance, where a named human holds binding authority to accept, modify, or reject an AI output and leaves a record, and it proposes the studies that would test it. It closes on the Growth OS, a future of work in which AI amplifies people instead of replacing them.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow, Working Papers Tagged With: AI accountability, AI agents, AI Governance, Augmented Intelligence, Automation Bias, CBG, Checkpoint-Based Governance, EU AI Act Article 14, future of work, Growth OS, Human In the Loop, human oversight, Human-AI Collaboration, Responsible AI

Measuring the Governance Competence at the Center of AI Literacy

September 13, 2026 by Basil C. Puglisi 3 Comments

The Augmented Intelligence Score architecture

The major AI literacy frameworks name governing and managing AI as a competence and stop short of measuring it. This working paper introduces the Human Enhancement Quotient, a behavior-anchored instrument that scores the governance relationship between a human authority and a machine capability inside a working decision process, with a universal floor keyed to irreversible consequence and an audit record reviewable on appeal.

Filed Under: AI Artificial Intelligence, AI Governance, AI Risk, Digital Factics Blog, Multi-AI Governance, Thought Leadership, Working Papers Tagged With: AI Governance, AI Literacy, AI Measurement, AIS, Augmented Intelligence, Checkpoint-Based Governance, Governance Competence, HEQ, human oversight, Human-AI Collaboration

The On-Ramp Problem: What the Canaries Dashboard Shows, and What It Cannot Measure

June 28, 2026 by Basil C. Puglisi 1 Comment

Two-scales diagram contrasting the population Canaries Dashboard with person-scale HEQ and AIS measurement of augmentation.

The AI jobs numbers look calm. Cut them by age, and the calm disappears. The dashboard that found the early-career decline can diagnose the trend but cannot see whether a single worker is being grown or replaced. Here is what it shows, what it cannot, and the measurement the moment needs.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI jobs, augmentation versus automation, Augmented Intelligence Score, Canaries Dashboard, entry-level employment, Erik Brynjolfsson, future of work, Human Enhancement Quotient, Human-AI Collaboration

AI Visibility: Be the Human Voice AI Can Find

June 25, 2026 by Basil C. Puglisi 1 Comment

A clear human voice standing out inside an AI-generated answer.

Most of the market is selling AI SEO tricks. The real shift is governance: being found, cited, and represented accurately inside AI answers, with a named human accountable for each correction. SEO is the floor, not the finish line.

Filed Under: AI Artificial Intelligence, AI Governance, Content Marketing, Digital Factics Blog, PR & Writing, Search Engines, SEO Search Engine Optimization Tagged With: AI Governance, AI Overviews, AI search, AI Visibility Governance, Bing Webmaster Tools, citation accuracy, crawler governance, Generative Engine Optimization, Human-AI Collaboration, NIST AI RMF, SEO, source custody

Why Agentic AI Was Always Going to Fail

June 4, 2026 by Basil C. Puglisi 3 Comments

The agentic AI era promised to replace humans with autonomous systems. The evidence shows it failed on two fronts: the technology cannot reliably do what it promised, and the public is rejecting the premise even where it partially works. This paper introduces the Named-Human Test, a single sorting question that separates what failed from what survives, and traces that line across production benchmarks, supermajority polling, enacted law, and frontier-lab disclosures.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Content Marketing, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow, Working Papers Tagged With: agentic AI, AI Governance, Checkpoint-Based Governance, Economic Override Pattern, Human-AI Collaboration, MIT Delphi Study, Named Human Authority, Named-Human Test, OpenClaw, Responsible AI

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

Crossing Over 1,000 Published Posts: Digital Marketing to AI

April 3, 2026 by Basil C. Puglisi Leave a Comment

Word cloud centered on 1,000+ Published surrounded by seventeen years of topics from basilpuglisi.com including Social Media, SEO, Brand, Visibility, Marketing, AI Governance, HAIA-RECCLIN, Factics, Checkpoint-Based Governance, Augmented Intelligence, and Human-AI Collaboration

In 2009, a blog post about social media. Today, over twenty white papers, three published books with two more pending, and the operating architecture for human-AI collaboration that the industry is still figuring out how to build. This past week, after publishing post 1001, I noticed basilpuglisi.com had crossed one thousand published articles. A thousand […]

Filed Under: AI Governance, Branding & Marketing, Business, Content Marketing, Digital & Internet Marketing, Digital Factics Blog, General, Policy & Research, PR & Writing, Press Releases, SEO Search Engine Optimization, Social Media Tagged With: AI Governance, Augmented Intelligence, Basil Puglisi, basilpuglisi.com, Checkpoint-Based Governance, Digital marketing, Factics, GOPEL, HAIA-RECCLIN, Human-AI Collaboration, multi-AI governance, Responsible AI, SEO, Social Media

HAIA-RECCLIN: Reasoning and Dispatch

March 17, 2026 by Basil C. Puglisi 9 Comments

HAIA-RECCLIN Reasoning and Dispatch Third Edition cover showing a human silhouette at the center of governed AI connections, representing human oversight authority across multiple AI platforms

Nine AI platforms reviewed the same paper and eight agreed. Agreement proved nothing, because platforms trained on the same data carry the same blind spots. HAIA-RECCLIN is the ten-field format that makes any platform cite its sources and hand the decision back, and the dispatch method that assigns seven roles by proven strength.

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Policy & Research, RECCLIN: Reasoning and Dispatch, Thought Leadership, White Papers Tagged With: AI Governance Framework, AI oversight, AI provider plurality, AIS, Augmented Intelligence Score, Basil Puglisi, CBG, Checkpoint-Based Governance, Cognitive Agility Speed, Dissent Preservation, enterprise AI, Factics, GOPEL, HAIA-CAIPR, HAIA-RECCLIN, HEQ, Human AI Governance, Human Enhancement Quotient, Human-AI Collaboration, Multi-AI Workflow, Platform Behavioral Profiles, RECCLIN Dispatch, RECCLIN Reasoning, Responsible AI, WEIRD bias

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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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