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Who Holds the Wheel? Open Source and the Fight for AI Decision Intelligence
The same data that makes AI governable can also make it steerable. That is why control over AI governance matters. Whoever controls telemetry, evaluation criteria, dashboards, and intervention mechanisms can influence what institutions see, what they measure, what they reward, and what they correct. The danger is not necessarily a single billionaire commanding civilization…
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The AI Act Was Reordered Just Before It Bit. Here Is Who Asked.
Europe moved its hardest AI Act deadlines just weeks before they were due to apply. The public record shows which industry requests shaped the Digital Omnibus, which safeguards survived, and why the final result is more complicated than either “simplification” or “capture.”
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Who Sought to Reorder the AI Act? What the Open Record Shows About the Digital Omnibus
The EU moved its hardest AI deadlines just weeks before they were due to apply. This paper traces which industry requests entered the Digital Omnibus, which were rejected, who benefits from the new timetable, and where the public record stops short of proving causation.
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Can You Reconstruct What Your AI Did?
Most organizations can describe their AI governance. Far fewer can reconstruct what happened when an AI-enabled decision goes wrong. Paper IV of Project Sentinel introduces the Reconstruction Principle and a six-question test for determining whether governance can actually be demonstrated.
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The Export-Control Order That Took Anthropic’s Frontier Model Offline
“The off switch was real. It just wasn’t in the building you thought it was.”
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The Accountability Control Plane Public Brief
Most organizations can prove they have an AI policy. Far fewer can prove what actually happened the last time an AI system shaped a real decision.
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MCP Is an Operational Surface. Governance Has to Catch Up.
FairByDesign — Operational AI Governance Series Field Signal Model Context Protocol, or MCP, is mostly discussed as an integration breakthrough. That is accurate, but incomplete. Anthropic introduced MCP on November 25, 2024 as an open standard for connecting AI applications to the systems where data lives — files, databases, APIs, developer tools, internal systems,…
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The Accountability Gap — public Field Paper
AI governance is no longer just about accuracy. It’s about whether anyone stays accountable when AI shapes decisions — the accountability gap, and how to close it.
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The Proof Deficit: Why AI Governance Is Moving From Principles on Paper to Controls in Systems
AI governance is shifting — from principles on paper toward controls running inside live systems. The unresolved problem is no longer a knowledge deficit. The field knows what responsible AI requires. It’s a proof deficit: whether a running system can actively prove who controlled it, when, with what evidence, and whether a human could…
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Ratified by the EU, Rewritten in Colorado: AI Governance Diverges
In a single week of May 2026, the EU ratified the first binding international AI treaty while Colorado repealed and replaced America’s broadest state AI law with a narrower automated-decision framework. The two moves, a day apart, map a widening but asymmetric transatlantic split.