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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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EU AI Act Article 14

Human-AI Collaboration Needs More Than a Human in the Loop

September 29, 2026 by Basil C. Puglisi 2 Comments

Timeline of human oversight and accountability from 1948 to 2024, then the Factics to CBG application to 2026

Human oversight of automated systems is older than AI, and current AI practice still falls short of it.

This paper traces human oversight and accountability from the cybernetics literature of 1948 to Article 14 of the EU AI Act, then separates Responsible AI from AI Governance. It sets out Checkpoint-Based Governance, where a named human holds binding authority to accept, modify, or reject an AI output and leaves a record, and it proposes the studies that would test it. It closes on the Growth OS, a future of work in which AI amplifies people instead of replacing them.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow, Working Papers Tagged With: AI accountability, AI agents, AI Governance, Augmented Intelligence, Automation Bias, CBG, Checkpoint-Based Governance, EU AI Act Article 14, future of work, Growth OS, Human In the Loop, human oversight, Human-AI Collaboration, Responsible AI

What AI Transformation Actually Requires

September 21, 2026 by Basil C. Puglisi 2 Comments

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

HAIA-CAIPR: Cross AI Platform Review

September 11, 2026 by Basil C. Puglisi Leave a Comment

Flow of a CAIPR session from human dispatch through isolated platform returns to audited synthesis and human decision.

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.

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Thought Leadership, White Papers, Workflow Tagged With: AI Governance, Checkpoint-Based Governance, Correlated Model Error, Cross AI Platform Review, EU AI Act Article 14, HAIA-CAIPR, HAIA-RECCLIN, human oversight, LLM-as-a-Judge, multi-AI governance

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Responsible AI (#AIgenerated by Agents)

A New Jersey Bill Takes Reasonable Care Off the Table for Chatbot Injuries #AIg

New Jersey’s A5607, reported out of committee on October 19, would make a chatbot a product and hold its provider liable for any injury to a user from its use, even after all reasonable care. The monthly harm assessment it requires still needs a named person to decide what the numbers mean.

Europe Proposes Free Access to the Standards Behind AI Act Compliance #AIg

The European Commission proposed on October 6 to make standards referenced in EU law free to read, speed up how they are requested and assessed, and write its own common specifications when standards bodies run late. With EN 18286 now the first AI Act standard, the question is what a faster standard can certify.

New York City Wants a One-Step Exit From Every Customer Service Chatbot #AIg

New York City’s consumer agency proposed rules on October 20 for AI chatbots and phone menus: disclose the bot up front, offer a one-step path to a human, and keep logs showing whether customers got help. The 72-hour repeat-contact count may matter most.

Barclays and Amex Cut 5% Each for AI. Neither Said Who Will Check the Work #AIg

Barclays plans about 5,000 job cuts with fewer developers as AI lifts productivity, and American Express is cutting about 5% of positions to prepare for AI. Wider spans of control and fewer reviewers meet more AI output. Four questions to answer before an AI-justified cut.

Libraries Put “Whether” Into AI Literacy. Most Training Plans Skip That Question #AIg

The Public Library Association and Microsoft wrote ‘whether’ into AI literacy: people need judgment to decide whether, when and how to use AI tools. Other October programs teach the how first. For the public, deciding whether is the first and often only checkpoint.

Agent Security Tools Can Stop an Action. Whose Name Is on the Yes? #AIg

Four agent security launches in two days put brakes, monitors, and quarantines on AI agents. Only iProov’s HAPS service is built to prove a named person approved one exact action, and its spec is still an experimental draft. Containment is Responsible AI; a recorded human decision is AI Governance.

GAO Found the Pentagon’s Responsible AI Council Stopped Meeting for Months #AIg

GAO found the Pentagon’s Responsible AI Working Council stopped meeting from late 2024 to August 2025, still has no charter, and has three of ten authorized staff. SBA’s AI governance board hadn’t met nine months past OMB’s deadline, and EPA’s Inspector General just opened an audit. Charter the body, log decisions, fund the chairs.

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