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Basil C. Puglisi

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Human Enhancement Quotient

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 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 1 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, Augmented Intelligence, Business, Business Networking, Code & Technical Builds, Data & CRM, Design, Enterprise AI, Mobile & Technology, Multi-AI Governance, 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

HAIA-RECCLIN: Reasoning and Dispatch

March 17, 2026 by Basil Puglisi 8 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

Recursive Language Models Prove the Case for Governed AI Orchestration

January 25, 2026 by Basil Puglisi Leave a Comment

Recursive Language Models, RLM, AI orchestration, AI governance, inference-time scaling, governed AI, HAIA-RECCLIN, Checkpoint-Based Governance, Human Enhancement Quotient, AI oversight, agentic AI, AI systems architecture, AI accountability, AI safety, human AI collaboration

MIT built the engine. The question now is who drives. This analysis is written for people designing, deploying, or governing reasoning systems, not just studying them. It is a long-form technical examination intended as a foundational reference for the governance of inference-scaling architectures. In one of the MIT paper’s documented execution traces (see Appendix B […]

Filed Under: AI Artificial Intelligence, Business Networking, Data & CRM, Multi-AI Governance, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI orchestration, AI oversight, AI safety, AI systems architecture, Checkpoint-Based Governance, governed AI, HAIA-RECCLIN, human AI collaboration, Human Enhancement Quotient, inference-time scaling, Recursive Language Models, RLM

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

September 28, 2025 by Basil 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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