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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Policy & Research

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

June 28, 2026 by Basil Puglisi Leave a 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

The World Came for Soccer and Found America

June 27, 2026 by Basil Puglisi Leave a Comment

They came for the World Cup and found ranch dressing, Buc-ee’s, and a country nothing like the one the media sells. The warm clips are not the whole story, and neither is the grim feed. Here is the honest standard for telling the difference, and why it matters after 250 years.

Filed Under: Branding & Marketing, Business, Community Activities, Digital & Internet Marketing, Digital Factics Blog, Healthy and Active, Local Biz Tips - Small Business, news, Policy & Research, Social Brand Visibility, Social Media, Video Tagged With: America250, American culture, media bias, media literacy, portrayal bias, source custody, World Cup 2026, World Cup tourists

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

June 21, 2026 by Basil Puglisi 1 Comment

An open classroom doorway leads to a checkpoint gate, a low marker beneath a dashed floor line and a taller gate above.

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI Governance, AI Literacy, AILit Framework, Checkpoint-Based Governance, cognitive offloading, education policy, EU AI Act, human oversight, OECD, PISA 2029

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

The Liability Map: The Three Channels Through Which AI Creates Legal Exposure

June 13, 2026 by Basil Puglisi Leave a Comment

Three converging pathways in red, gold, and indigo resolving into a single glowing record of AI governance accountability.

Most organizations track AI risk by watching for new laws. The exposure does not wait for them. AI legal liability runs through regulatory enforcement, civil and product liability, and insurance at the same time, and all three demand the same thing: a record that a named human governed the AI and verified its work. This piece maps the three channels and names the one artifact that answers all of them.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research Tagged With: AI Governance, AI legal exposure, AI liability insurance, Checkpoint-Based Governance, Colorado AI Act, EU AI Act, insurance exclusion, product liability

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

June 8, 2026 by Basil Puglisi 2 Comments

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, Augmented Intelligence, Business, Data & CRM, Enterprise AI, Multi-AI Governance, 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, Conferences & Education, Multi-AI Governance, 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 4 Comments

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, Multi-AI Governance, Policy & Research, PR & Writing, Publishing, SOURCE CUSTODY OBSERVABLE PUBLICATION EVIDENCE, 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

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