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Basil C. Puglisi

Digital Strategy, Content, and AI Since 2009

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AI Risk

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

October 3, 2026 by Basil Puglisi Leave a Comment

人工智能生成的特朗普总统和科技高管围坐在一张桌子旁的图像,背景中是带着问号、若隐若现的研究人员。

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow Tagged With: AI Governance, AI Industrialist, AI Policy, artificial general intelligence, Augmented Intelligence, Ban Artificial Superintelligence Act, Basil Puglisi, Checkpoint-Based Governance, Economic Override Pattern, Executive Order 14434, I. J. Good, Nick Bostrom, Super Intelligence, superintelligence, White House Accord on Super Intelligence

When AI Policy Becomes an Accessibility Barrier

September 25, 2026 by Basil Puglisi Leave a Comment

Timeline of key AI policy, disability law, and platform events from January 2025 through December 2026

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.

Filed Under: AI Artificial Intelligence, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: accessibility, AI detection, AI disclosure, AI Governance, AI Policy, AIDA, Americans with Disabilities Act, anti-AI policy, Artificially Intelligent Disability Assistance, Checkpoint-Based Governance, disability law, EU AI Act, reasonable accommodation

When AI Becomes Assistive Technology

September 24, 2026 by Basil Puglisi 1 Comment

When AI Becomes Assistive Technology: Artificially Intelligent Disability Assistance (AIDA)

A blind professional asks AI to describe a chart. The paper asks whether that use is assistive technology.

This working paper names the function Artificially Intelligent Disability Assistance (AIDA) and gives a three-prong test for when a use of general-purpose AI qualifies. It runs seven cases, from blindness and speech loss to post-traumatic stress, and it names the case the test excludes and the dissent it has to answer.

Filed Under: AI Artificial Intelligence, AI Risk, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: accessibility, AI assistive technology, AI Governance, AIDA, Artificially Intelligent Disability Assistance, assistive technology, Augmented Intelligence, Checkpoint-Based Governance, disability, disability inclusion, functional capability, generative AI, reasonable accommodation

What Is “Verified AI”?

September 23, 2026 by Basil Puglisi Leave a Comment

Diagram of Verified AI across Ethical AI, Responsible AI, and AI Governance, ending in the practitioner definition

Verified AI is not a settled category, and its history explains why.

This working paper traces the term from the verification of knowledge-based systems in 1988 through the 2016 formal definition, shows how that concept shaped the HAIA Ecosystem, and sets out a practitioner definition built on records a human can review and accept. It closes with the 2026 trend and how the Proof-of-Control standard contrasts with it.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Data & CRM, Enterprise AI, Multi-AI Governance, Policy & Research, PR & Writing, Thought Leadership, Workflow, Working Papers Tagged With: agent identity, AI assurance, AI Governance, AI verification, Checkpoint-Based Governance, content provenance, formal methods, HAIA-CARCS, hardware attestation, proof of control, Proof-of-Control, Responsible AI, TEVV, verification and validation, Verified AI

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

September 17, 2026 by Basil Puglisi 3 Comments

Dark server monolith looms over a crowd under a WE THE PEOPLE banner while two groups argue from money piles

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Code & Technical Builds, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI Insurance, AI Liability, AI Policy, AI Regulation, AI safety, Checkpoint-Based Governance, Dario Amodei, Economic Override Pattern, EU AI Act, product liability, provider plurality

Measuring the Governance Competence at the Center of AI Literacy

September 13, 2026 by Basil Puglisi Leave a Comment

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

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

July 5, 2026 by Basil Puglisi Leave a Comment

Two-law split showing the withdrawn AI Liability Directive and the revised Product Liability Directive reaching software and AI.

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI Liability, Checkpoint-Based Governance, EU AI Act, EU AI Regulatio, GDPR Article 22, Product Liability Directive, Strict Liability

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

June 17, 2026 by Basil Puglisi Leave a Comment

Editorial image linking a navy courthouse to a dissolving search card, illustrating accountability for AI output.

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Digital Factics Blog, Enterprise AI, Multi-AI Governance, Policy & Research, Search Engines, Thought Leadership Tagged With: AI accountability, AI Governance, AI Liability, AI Overviews, Checkpoint-Based Governance, google, Part 161

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

June 15, 2026 by Basil Puglisi Leave a Comment

Part 161 flow: the sanctions and privilege risk, the named-human signature checkpoint, and the defense and scale reward.

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Business Networking, Multi-AI Governance, Policy & Research Tagged With: AI disclosure, AI Governance, attorney ethics, Checkpoint-Based Governance, Legal AI, legal malpractice, New York courts, Part 161

The Oldest AI Law Is Already Being Enforced: GDPR and the Automated Decision

June 14, 2026 by Basil Puglisi 1 Comment

GDPR Article 22 decision split, rubber stamp falls under the prohibition while meaningful human review produces the record.

Most organizations treat GDPR as a cookie-banner problem settled years ago. It is the oldest law on the books that directly governs automated decisions about people, and in 2026 it is one of the most active. This unit maps the Article 22 exposure, the SCHUFA ruling, the 2026 enforcement action, and the records that turn the risk into a defensible position.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research Tagged With: AI Governance, Article 22, automated decision-making, data protection, EU AI regulation, GDPR, human oversight, SCHUFA

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