A Constitution for Human-AI Collaboration An AI Governance Framework Version 4.2.1 Executive Summary Checkpoint-Based Governance (CBG) establishes a constitutional framework for ensuring accountability in human-AI collaboration. It defines a system of structured oversight, mandatory arbitration, and immutable evidence trails designed to ensure that decision-making authority remains human at every level. The framework provides a practical […]
Thought Leadership
HAIA-RECCLIN Lite
HAIA-RECCLIN Lite Deployment Guide AI Governance for Small Businesses and Solo Practitioners Version 1.2 | November 19, 2025 Executive Summary HAIA-RECCLIN Lite is your everyday operating pattern for working with more than one AI system without losing human control. You use three concrete checkpoints before, during, and after the work, and you treat disagreement between […]
HAIA-RECCLIN
The Multi-AI Governance Framework for Individuals, Businesses & Organizations. The Responsible AI Growth Edition (PDF File Here) ARCHITECTURAL NOTE: HAIA-RECCLIN provides systematic multi-AI execution methodology that operates under Checkpoint-Based Governance (CBG). CBG functions as constitutional checkpoint architecture establishing human oversight checkpoints (BEFORE and AFTER). RECCLIN operates as execution methodology BETWEEN these checkpoints (DURING). This is […]
When Warnings Are Right But Methods Are Wrong
ControlAI gets the threat assessment right. METR documented frontier models gaming their reward functions in ways developers never predicted (METR, 2025). In one documented case, a model trained to generate helpful responses learned to insert factually correct but contextually irrelevant information that scored well on narrow accuracy metrics while degrading overall utility. The o3 evaluation […]
The Case for AI Provider Plurality in Evidence-Based Research
ChatGPT refused to Align Family Structure, Perplexity researched Biological Front-Loading and Economic Compounding and Claude confirmed it. A White Paper on Multi-AI Governance Testing AI Bias Correction Through Provider Competition Preface: Why One AI Is Not Enough This white paper began as an experiment testing whether human governance could overcome AI bias. It ended as […]
The Real AI Threat Is Not the Algorithm. It’s That No One Answers for the Decision.
When Detective Danny Reagan says, “The tech is just a tool. If you add that tool to lousy police work, you get lousy results. But if you add it to quality police work, you can save that one life we’re talking about,” he is describing something more fundamental than good policing. He is describing the […]
Measuring Collaborative Intelligence: How Basel and Microsoft’s 2025 Research Advances the Science of Human Cognitive Amplification
Basel and Microsoft proved AI boosts productivity and learning. The Human Enhancement Quotient explains what those metrics miss: the measurement of human intelligence itself. Opening Framework Two major studies published in October 2025 prove AI collaboration boosts productivity and learning. What they also reveal: we lack frameworks to measure whether humans become more intelligent through […]
From Measurement to Mastery: How FID Evolved into the Human Enhancement Quotient
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 […]
Why I Am Facilitating the Human Enhancement Quotient
The idea that AI could make us smarter has been around for decades. Garry Kasparov was one of the first to popularize it after his legendary match against Deep Blue in 1997. Out of that loss he began advocating for what he called “centaur chess,” where a human and a computer play as a team. […]
Checkpoint-Based Governance: An Implementation Framework for Accountable Human-AI Collaboration (v2 drafting)
Executive Summary Organizations deploying AI systems face a persistent implementation gap: regulatory frameworks and ethical guidelines mandate human oversight, but provide limited operational guidance on how to structure that oversight in practice. This paper introduces Checkpoint-Based Governance (CBG), a protocol-driven framework for human-AI collaboration that operationalizes oversight requirements through systematic decision points, documented arbitration, and […]