Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

Multi-AI Governance

Basil C. Puglisi's AI governance work across multiple AI platforms, where a named human holds binding authority at defined checkpoints in everything published.

Agents or Agency: Transparency Is Success

by Leave a Comment

Automation and human checkpoints each have a place and a rule, and the failure is selling one as the other.

Basil C. Puglisi frames Responsible AI as the factory, where the machine checks the machine, and AI Governance as the handmade product, where a named human holds binding authority at checkpoints. Drawing on enforcement actions, court cases, and research on AI labels, the article sets out where each model belongs, what transparency costs, and how European rules, SEC enforcement, Colorado’s new law, and New York’s court rule reach the same line by different routes. It proposes an inspection mark that shows the customer who answers.

HAIA Agents: From the Definition Problem to Running Code

by Leave a Comment

The definition problem of January 2026 now runs as code.

This rebuild of the HAIA-RECCLIN Agent Architecture Specification introduces the Alpha release of Agent Model 1, Responsible AI written as code that passes nothing without a gate, and Agent Model 2, the hybrid that runs through to AI Governance at a signed human checkpoint after every role. It revisits Agent Model 3, Manual Human AI Governance, which built both releases, and states plainly what the Alpha does not claim.

Narrative Is Not Custody: Why AI Compliance Needs Traversable Rules

by 1 Comment

A fluent explanation is not a record, and regulated AI decisions need a record.

This article argues that AI compliance starts with accountability, with policy graphs and solvers as one route to a traversable trail. It reports what GraphCompliance, solver-backed legal analysis, and two recent preprints find, maps the GDPR, EU AI Act, and Regulation B duties, and sets out the two human checkpoints that turn a trail into AI Governance.

If You’re So Intelligent, Why Do You Use AI?

by Leave a Comment

The question every AI user hears at the table, answered with a story.

Teresa drafts grant proposals with a machine. Her brother-in-law Dale has never typed a prompt and asks why someone intelligent would. Her answer runs through Tron, Jurassic Park, and two versions of The Shining, and lands on the three old reasons people refuse a new tool: jealousy, fear, and prejudice. Verified history, invented people, one backyard argument.

Physical AI Is the Next Platform Shift, and Chat Was Only the On-Ramp

by Leave a Comment

Chat made AI legible to every board, and robots that see, plan, and act now make it consequential.

Frontier capital now treats robot learning, autonomous science, and new interfaces as the next compounding domains beyond language and code. Tesla’s Optimus and Robotaxi record shows how far demonstrations still sit from deployment, so this analysis sets out how to fund physical AI pilots with preregistered measures, a classical baseline, engineered safety, an operating-mode ledger, and a named human who decides.

What Would Education Look Like With an AI Literacy Program Based on Proven Methods?

by 2 Comments

Education already owns the methods that make AI support learning.

This is what an AI literacy program built on them would look like, with a named human at every checkpoint. It opens with the ground rules before any assignment uses AI, runs every session through one checkpoint sequence, and measures each learner with the tools removed. Three programs carry it from a high school classroom to a professional certificate.

Superintelligence Has Authors, the US Government Is Not One of Them

by 1 Comment

President Trump renamed artificial intelligence after a mind no one has built.

Executive Order 14434 gives today’s ordinary AI the name researchers reserved for an intellect beyond ours, and the minds who defined that word were not in the room. Basil C. Puglisi traces superintelligence from Turing and Good to Bostrom and shows how the order skips the AGI rung. The rename is a bad joke if superintelligence is far off and dangerous if the fears are right.

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

by 3 Comments

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.

A Year Ago I Told You AGI Was Hype. Superintelligence Is Further Off Than Sold, and It Will Not End Us.

by 1 Comment

The machine is never the one who answers for what it does.

A September 2025 essay argued that AGI talk is usually about money and not reality. This September, Andrew Ng, Timnit Gebru, and Emily Bender reached the same point about responsibility from opposite sides of the AI debate. The piece separates real capability from the claims stacked on it, argues that superintelligence is further off than sold and will not end us, and moves from a human chain of responsibility to a real checkpoint.

When AI Policy Becomes an Accessibility Barrier

by Leave a Comment

If AI is a disability tool, are the rules restricting it unethical at best and illegal at worst?

This companion working paper maps which United States laws reach which institutions and classifies six types of AI policy risk, from outright bans to detection tools. It works a pending smart-glasses case, compares the EU AI Act, and closes with a model accommodation clause any institution can adopt.