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Basil C. Puglisi

Digital Strategy, Content, and AI Since 2009

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AI Artificial Intelligence

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

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

September 22, 2026 by Basil Puglisi Leave a Comment

Side by side panels comparing the ISO DIS 21520 Clause 3.2 AI governance definition with the rejected human authority version

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.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI accountability, AI Governance, AI Governance Definition, AI Policy, AI Regulation, AI Standards, Checkpoint-Based Governance, human oversight, ISO 21520, ISO TC 258, public trust in AI, Responsible AI

What AI Transformation Actually Requires

September 21, 2026 by Basil Puglisi Leave a Comment

Infographic contrasting Responsible AI automation under human observation with Checkpoint-Based Governance

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.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Business, Business Networking, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow Tagged With: AI accountability, AI Governance, AI transformation, Automation Bias, Checkpoint-Based Governance, decision traceability, enterprise AI, EU AI Act Article 14, Human In the Loop, human oversight, ISO/IEC 42001, NIST AI RMF, Responsible 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

HAIA-SMART Copy: The Social Media AI Rating Tool, and Why Good Posts Still Go Unread

September 16, 2026 by Basil Puglisi 1 Comment

HAIA-SMART Copy workflow: load, mode, path, Factics check, six-pillar score, revision, approval, three files

Good posts still go unread, and HAIA-SMART Copy shows the author why.

HAIA-SMART Copy is a free prompt that scores social media copy across six pillars for 30 points, revises it, and holds all output until the author approves. It then writes native text for eight platforms, and the full tool runs in the post with a PDF and a .md file.

Filed Under: AI Artificial Intelligence, Branding & Marketing, Business, Code & Technical Builds, Content Marketing, Data & CRM, Design, Digital Factics Blog, Multi-AI Governance, PR & Writing, Social Brand Visibility, Social Media, Social Media Topics, Thought Leadership Tagged With: AI Content Evaluation, AI Prompt Tools, Content Governance, Factics, HAIA ecosystem, HAIA-RECCLIN, HAIA-SMART, HAIA-SMART Copy, Human Voice, LinkedIn Post Scoring, Social Media AI Rating Tool, Social Media Copywriting

HAIA-SMART Creative: The Social Media AI Rating Tool, and Why Every AI Visual Looks the Same

September 16, 2026 by Basil Puglisi 1 Comment

HAIA-SMART Creative workflow: two starting points, Visual Hook Rule, evaluate or generate, three files

Every AI visual looks the same, and HAIA-SMART Creative gives the image a job.

HAIA-SMART Creative is a free prompt that evaluates the images, infographics, and carousels an author already has and writes paste-ready prompts for the visuals the author needs. It ties every visual to its post through the Visual Hook Rule, and the full tool runs in the post with a PDF and a .md file.

Filed Under: AI Artificial Intelligence, Branding & Marketing, Business, Code & Technical Builds, Content Marketing, Data & CRM, Design, Multi-AI Governance, PR & Writing, SEO Search Engine Optimization, Social Brand Visibility, Social Media, Social Media Topics, Thought Leadership Tagged With: AI Image Prompts, AI Prompt Tools, Carousel Design, Content Governance, Creative Diversity System, Gemini Notebook, HAIA ecosystem, HAIA-SMART, HAIA-SMART Creative, Social Media AI Rating Tool, Social Media Visuals, Visual Hook Rule

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

September 14, 2026 by Basil Puglisi Leave a Comment

A kitchen table at breakfast surrounded by faint panels standing for the unseen systems deciding about a person's day.

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.

Filed Under: AI Artificial Intelligence, AI Governance, Digital Factics Blog, Mobile & Technology, Multi-AI Governance, Thought Leadership, Workflow Tagged With: AI agents, AI Governance, Artificial intelligence, Augmented Intelligence, Checkpoint-Based Governance, human oversight, machine learning, Responsible AI

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

CORE: Content Optimization Reader Evaluation, and How to Score an Article Before Anyone Reads It

September 12, 2026 by Basil Puglisi 6 Comments

HAIA-CORE run flow: sources in, score, escalation gate, edit ledger, human checkpoint, tag out.

Most content review checks the wrapper. Content Optimization Reader Evaluation checks the argument, the evidence, and whether anyone directed the prose.

A rubric that scores an article on substance is only useful if it stops when something is wrong. CORE scores six pillars, holds the run when a pillar fails or a source does not support its claim, and hands the decision to a person. The full prompt is included.

Filed Under: AI Artificial Intelligence, Business, Code & Technical Builds, Content Marketing, Design, HAIA-CORE Featured, Multi-AI Governance, Workflow, Working Papers Tagged With: AI disclosure, AI Governance, CAIPR, content evaluation, Content Optimization Reader Evaluation, content strategy, editorial rubric, Factics, HAIA ecosystem, HAIA-CORE, human oversight, RECCLIN, source custody

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