No standards body has defined AI Governance. No regulation locks it. After reviewing every major framework, here is the definition the field is missing. The phrase “AI Governance” appears in international treaties, executive orders, corporate reports, and academic handbooks. More than 40 countries have adopted governance principles through the OECD. The European Union built an […]
AI ethics
HAIA: Human Artificial Intelligence Assistant
The Name Given to the Ecosystem for Human-AI Collaboration (PDF) What It Is, Why It Exists, Where It Comes From Executive Summary HAIA stands for Human Artificial Intelligence Assistant. It is the ecosystem that structures a human’s interaction with AI, specifically with large language models, across every stage of collaboration: how the AI is instructed, […]
A Governance Specification for AI Value Formation
No Single Mind Should Govern What AI Believes (PDF) Summary: Are we building AI for humanity, or are we building AI for dominance? We need the answer to that question so we know where we stand. On the same day the Wall Street Journal profiled the single philosopher shaping Claude’s values, Anthropic’s safeguards research lead […]
The Great AI Language Collapse: Why Marketing Is Killing Accountability
Most AI titles and terms being used right now are dead wrong. That should scare us more than the technology itself. What passes for authority today is often confidence without structure. A dangerous flattening is happening in plain sight. Operational requirements turn into marketing slogans, and accountability quietly disappears with the language. Clarity of language […]
AI as a Mirror to Humanity
Do What We Say, Not What We Do (PDF) Preamble: AI Bias and the WEIRD Inheritance AI systems are biased. This is not speculation. This is measured, published, and peer-reviewed. In 2010, researchers at Harvard documented that 96% of subjects in top psychology journals came from Western industrialized nations, which house just 12% of the […]
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 […]