-
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.”
-
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.
-
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.
-
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.”
-
The FairByDesign Doctrine: Governing AI You Can’t Fully Understand
The full FairByDesign Doctrine Field Paper carries the complete three-pillar architecture, the five-level Evidence Hierarchy, the Reconstruction Spine and data-layer doctrine, role-by-role implications, Evidence Notes mapping every claim to its source, and full references. It is Paper III of the Project Sentinel series, following The Accountability Gap and The Accountability Control Plane. Download the…
-
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.
-
MCP Enforces at the Boundary. It Cannot Vouch for Itself.
which governance functions can the protocol actually hold, and at exactly what point do you stop trusting it?
-
The Accountability Control Plane Field Paper
Trustworthy AI cannot be reduced to model behavior. It depends on trustworthy systems of oversight around AI.
-
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,…
-
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.