Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

Checkpoint-Based Governance

Humans Are Optional When Defining AI Governance for ISO, According to the U.S. Technical Advisory Group

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A standards body just wrote down that AI governance can exist without a human in control.

In September 2026 the U.S. TAG to ISO/TC 258 answered a public comment on the draft AI standard for project management. It accepted two editorial corrections and rejected the one that would have put binding human authority and attributable accountability inside the definition. This is the filing, the four reasons for the rejection, and why a definition without a governor fails the moral test the public is already applying.

What AI Transformation Actually Requires

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AI products can be purchased. AI transformation has to be built.

This paper reframes fifteen commonly cited requirements for AI transformation as operational management requirements, from data provenance and purpose to decision traceability and value realization. It shows why automation and observation cannot serve as the sole control on consequential work, and how named human checkpoints close that gap.

The AI HOAX Distraction: Safety, Money, and Why You Can’t Tell Which Is Driving

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Six positions in nine days, and every one of them fits the speaker’s balance sheet.

In September 2026 four frontier labs called for a slowdown, the President called the whole thing a hoax, and two of the largest companies in AI said the market already handles it. This piece argues the slowdown is not evidence that governance is working. It is evidence that economic incentives are still in charge, with the sign flipped. Readers get the dated exposure curve behind the calls, the reason liability cannot currently steer, and a narrower proposal than pacing the frontier.

AI Was Never New. It Just Started Talking to Us Directly.

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A woman applies for a car loan on a Tuesday morning. Before a human being reads her name, a model has scored her, a ranking system has chosen what she sees, and a classifier has flagged her scan.

She met artificial intelligence roughly a dozen times before lunch, and none of it said a word to her. This is the story of what AI actually is, told in the order it happened, from the era when humans wrote every rule through machine learning, deep learning, the transformer, language models, agents, and embodiment. It ends where the sequence was never resolved: nobody settled who holds authority over the decisions.

Measuring the Governance Competence at the Center of AI Literacy

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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.

HAIA-CAIPR: Cross AI Platform Review

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Nine judges carry two votes’ worth of information. Run the same task across many AI platforms and the agreement that comes back may be a shared blind spot rather than a finding. HAIA-CAIPR is the governance framework for orchestrating that comparison so it produces evidence instead of confidence. It sets nine invariants, five configuration variables that each name what they cost, and a named human who reads the raw returns before anyone decides.

Europe Withdrew Its AI Liability Directive, and the Exposure It Left Behind Is Larger

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Europe withdrew its AI liability directive, and many executives read relief into the news. The surviving Product Liability Directive tells a different story, reaching software and AI with strict liability and presumptions that reward the documented company. This analysis maps what changed, who carries the exposure across providers and deployers, and the record that answers a claim.

The Continued Failure in AI Literacy: AILit produced a starting point halfway through the race and called theory a framework

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A new OECD and European Commission framework will shape how a generation learns to use AI, and it feeds the PISA 2029 assessment. It names the method that produces learning, and then it makes every step toward that method optional. Read why that choice matters, and what a checkpoint that actually binds a decision requires.

A Munich Court Rejected the AI Disclaimer Defense. A Frontier AI Company Answers for What It Publishes.

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A German court just told Google it answers for what its AI publishes. The Munich ruling treats AI Overviews as Google’s own statements, not safe search results, and says the disclaimer does not transfer the duty. Read what the decision means for AI accountability and why it mirrors New York’s Part 161 from the other end.

New York Skipped the AI Disclosure Fight. It Went Straight to Human Accountability.

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New York let its lawyers use AI in court and skipped the disclosure form everyone expected. That is not the relief it looks like. With nothing to disclose, the whole duty lands on the signature. Here is what Part 161 changes, the two cases that show the stakes, and why accountability outlasts disclosure.