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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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HEQ

Measuring the Governance Competence at the Center of AI Literacy

September 13, 2026 by Basil C. Puglisi 3 Comments

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

The AI Cognitive Decline Narrative Has Not Tested What It Claims

May 4, 2026 by Basil C. Puglisi 2 Comments

Editorial split composition contrasting a single isolated AI beaker with a five-arm controlled study apparatus.

The peer-reviewed evidence base does not yet support the cognitive-decline claim, and it does not yet support the opposite claim either. Two scientific questions remain open: whether structured human-governed AI use accelerates cognitive development, and what augmented intelligence is in practice. This methodological audit specifies the standards the field would have to meet, scores the existing evidence against those standards, and offers HAIA-RECCLIN Reasoning, HEQ with AIS, and a five-arm randomized controlled trial design as testable counter-proposals.

Filed Under: AI Artificial Intelligence, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI Governance, AIS, Checkpoint-Based Governance, Cognitive Science, Factics, HAIA-RECCLIN, HEQ, Methodological Audit, Randomized Controlled Trial

HAIA-RECCLIN: Reasoning and Dispatch

March 17, 2026 by Basil C. Puglisi 9 Comments

HAIA-RECCLIN Reasoning and Dispatch Third Edition cover showing a human silhouette at the center of governed AI connections, representing human oversight authority across multiple AI platforms

Nine AI platforms reviewed the same paper and eight agreed. Agreement proved nothing, because platforms trained on the same data carry the same blind spots. HAIA-RECCLIN is the ten-field format that makes any platform cite its sources and hand the decision back, and the dispatch method that assigns seven roles by proven strength.

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Policy & Research, RECCLIN: Reasoning and Dispatch, Thought Leadership, White Papers Tagged With: AI Governance Framework, AI oversight, AI provider plurality, AIS, Augmented Intelligence Score, Basil Puglisi, CBG, Checkpoint-Based Governance, Cognitive Agility Speed, Dissent Preservation, enterprise AI, Factics, GOPEL, HAIA-CAIPR, HAIA-RECCLIN, HEQ, Human AI Governance, Human Enhancement Quotient, Human-AI Collaboration, Multi-AI Workflow, Platform Behavioral Profiles, RECCLIN Dispatch, RECCLIN Reasoning, Responsible AI, WEIRD bias

HAIA: Human Artificial Intelligence Assistant

March 13, 2026 by Basil C. Puglisi 1 Comment

HAIA Ecosystem Architecture diagram showing the three-pillar structure with Factics as the evidentiary foundation on the left, HAIA as the central human-AI collaboration ecosystem containing RECCLIN Reasoning, RECCLIN Dispatch, HAIA-CAIPR, HAIA-Agent, and HAIA-GOPEL in layered order, CBG as human constitutional authority on the right, HEQ/AIS running parallel as a measurement track, HAIA-CORE and HAIA-SMART as content quality tools beneath, and a feedback loop arrow returning from HEQ back to Factics

HAIA stands for Human Artificial Intelligence Assistant, the ecosystem that structures a human’s interaction with AI across every stage of collaboration. This March 2026 white paper by Basil C. Puglisi explains what HAIA is, why it exists, and what problems it addresses. It walks through the three-pillar architecture, each component, the adoption ladder, and the chain of discovery from 2012 to 2026.

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Content Marketing, Data & CRM, Design, Multi-AI Governance, Policy & Research, Press Releases, Thought Leadership, White Papers, Workflow Tagged With: AI ethics, AI Governance, AI Policy, AI provider plurality, CAIPR, Checkpoint-Based Governance, Factics, GOPEL, HAIA, HAIA-RECCLIN, HEQ, Human-AI Collaboration, Multi-AI, Responsible AI

Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration

March 10, 2026 by Basil C. Puglisi 5 Comments

Checkpoint-Based Governance CBG v5.0 constitutional framework infographic showing four constitutional properties, the decision loop, HAIA stack position, and Asimov harm boundary. Intellectual property of Basil C. Puglisi, MPA.

Human oversight is the phrase everyone uses, and almost nobody defines what it requires. Checkpoint-Based Governance sets four conditions that separate a human who reviewed from a human who decided, and it puts that difference in the record. Read what a checkpoint has to do to count.

Filed Under: AI Artificial Intelligence, AI Governance, Checkpoint-Based Governance, Code & Technical Builds, Content Marketing, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers, Workflow Tagged With: AI accountability, AI Framework 2026, AI Governance, AI oversight, AI Policy, AIS, Asimov, Basil Puglisi, CAIPR, CBG, Checkpoint-Based Governance, Constitutional AI, GOPEL, HAIA, HEQ, Human In the Loop, Human-AI Collaboration, multi-AI governance, RECCLIN, Responsible AI

Measuring Augmented Intelligence

February 24, 2026 by Basil C. Puglisi 1 Comment

Augmented Intelligence Score

This February 2026 working paper by Basil C. Puglisi introduces Human-AI Collaborative Intelligence (HACI) as the measurement science for augmented intelligence. The Human Enhancement Quotient (HEQ) is its four-dimension instrument, and the Augmented Intelligence Score (AIS) is the standardized composite output. The current version is Measuring the Governance Competence at the Center of AI Literacy.

Filed Under: AI Artificial Intelligence, Conferences & Education, Design, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers Tagged With: AI Assessment, AI Governance, AIS, Augmented Intelligence, Cognitive Amplification, HAIA-RECCLIN, HEQ, Human-AI Collaboration, Working Paper

The Human Enhancement Quotient (HEQ)

December 22, 2025 by Basil C. Puglisi Leave a Comment

The Human Enhancement Quotient (HEQ) Enterprise White Paper gives organizations a structured way to measure AI collaboration capability, where today only managerial intuition exists. This Enterprise Pilot Edition by Basil C. Puglisi covers the HEQ dimensions and formula, HEQ5 for organizational deployment, governance architecture, validation evidence, and responsible use in employment decisions.

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership, White Papers Tagged With: AI Intelligence, HAIC, HEQ, Human-AI Collaboration

From Measurement to Mastery: How FID Evolved into the Human Enhancement Quotient

October 6, 2025 by Basil C. Puglisi Leave a Comment

When I built the Factics Intelligence Dashboard, I thought it would be a measurement tool. I designed it to capture how human reasoning performs when partnered with artificial systems. But as I tested FID across different platforms and contexts, the data kept showing me something unexpected. The measurement itself was producing growth. People were not […]

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership Tagged With: AI, Artificial intelligence, FID, HEQ, Intelligence

The Human Enhancement Quotient (HEQ): Measuring Cognitive Amplification Through AI Collaboration (draft)

September 28, 2025 by Basil C. Puglisi 3 Comments

HEQ or Human Enhancement Quotient

The HAIA-RECCLIN Model and my work on Human-AI Collaborative Intelligence are intentionally shared as open drafts. These are not static papers but living frameworks meant to spark dialogue, critique, and co-creation. The goal is to build practical systems for orchestrating multi-AI collaboration with human oversight, and to measure intelligence development over time. I welcome feedback, […]

Filed Under: AI Artificial Intelligence, Multi-AI Governance Tagged With: AI Collaboration, HAIA, HAIA RECCLIN, HEQ, Human Enhancement Quotient

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Responsible AI (#AIgenerated by Agents)

New AI Certificates for Doctors and Teachers Teach Checking. Do They Certify It? #AIg

Google launched an AI certificate for healthcare professionals that takes under five hours and carries up to 5.0 CME credits, and Scale and UMSL launched a 12-hour microcredential for teachers. Both teach evaluation of AI output. A European teacher framework asks for evidence of it, and employers can too.

OpenAI Built Four Layers to Watch Its Agents. Human Paging Mostly Keeps Business Hours #AIg

OpenAI’s October 29 post describes up to four automated layers that watch its agents, then discloses that human paging runs at any hour only for highest-priority alerts on frontier training runs, during business hours for most other traffic, and is currently off for internal Codex. For enterprise deployments, alerts go to the customer’s own webhook, and on our reading so does the decision.

House Democrats Ask AI Labs for Incident Reports Within 48 Hours of Discovery #AIg

Letters dated October 27 ask five frontier AI companies for a full accounting of misalignment incidents by November 11 and notice within 48 hours of discovery. None of the fourteen requested items asks who inside a company decides a flagged event is an incident, and that decision is what starts the clock.

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.

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