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Augmented Intelligence

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

June 8, 2026 by Basil Puglisi 1 Comment

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, AI Thought Leadership, Augmented Intelligence, Business, Data & CRM, Enterprise AI, 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

Stop Blaming AI for What the Education System Abandoned

June 1, 2026 by Basil Puglisi Leave a Comment

Flow diagram showing how unstructured AI deployment produces homogenized output blamed on AI.

AI did not make student writing less creative. Unstructured deployment without method governance did. A data-supported op-ed walks through 372,793 essays, Senate testimony, and a psychometric study that names the student as the problem without ever measuring whether the institution provided governed deployment.

Filed Under: AI Governance, AI Thought Leadership, Augmented Intelligence, Conferences & Education, Educational Activities, Thought Leadership, Workflow Tagged With: AI creativity, AI Governance, disjunctive homogenization, education technology, Horvath Senate testimony, Human-AI Collaboration, metacognitive laziness, method governance

Did AI Write Magnifica Humanitas?Pope Leo XIV Was the Author,but What Was the Governance Method?

May 31, 2026 by Basil Puglisi Leave a Comment

Open book reflected in a mirror with digital governance patterns, representing the convergence between papal moral teaching and AI governance frameworks.

The author ran Pope Leo XIV’s AI encyclical through an AI scanner, found it flagged as plagiarized and AI-generated, then proved both readings wrong through governed human analysis. A first-person account of frustration, recognition, dissent, and hope from a builder who discovered the Pope had reached the same diagnosis from a different authority.

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Augmented Intelligence, Community Activities, Nonprofits & Fundraising, Policy & Research, Thought Leadership, Working Papers Tagged With: AI detection, AI Governance, AI provider plurality, AI scanner, authorship, Catholic social teaching, Checkpoint-Based Governance, encyclical, Factics, HAIA-RECCLIN, Human-AI Collaboration, Magnifica Humanitas, method governance, Originality.ai, Pope Leo XIV

The Inevitable Is a Choice: Testing Mo Gawdat’s FACE RIPS Forecast Across Two Interviews Against the Governance Architecture That Could Make It Optional

May 11, 2026 by Basil Puglisi Leave a Comment

Architectural blueprint showing AI deployment cascade with named human checkpoint columns preventing dystopia phase

Mo Gawdat predicts 12 to 15 years of dystopia before AI becomes benevolent enough to save humanity. He says the transit corridor is inevitable. This paper tests every Gawdat claim against the published governance architecture that could prevent it. The dystopia is contingent, not foreordained, because the infrastructure to stop it already exists. The decade ahead will be shaped by which prediction the public frame adopts.

Filed Under: AI Artificial Intelligence, AI Governance, AI Thought Leadership, Augmented Intelligence, Business, Business Networking, Code & Technical Builds, Data & CRM, Design, Enterprise AI, Mobile & Technology, Policy & Research, Thought Leadership, Workflow Tagged With: AGI 2026, AI dystopia, AI Governance, AI provider plurality, checkpoint based governance, Constitutional Wall, FACE RIPS, GOPEL, HAIA-CAIPR, Human Enhancement Quotient, Mo Gawdat, VAISA

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