-
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.
-
The Accountability Gap Field Brief
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.
-
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…
-
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In a single week of May 2026, the EU ratified the first binding international AI treaty while Colorado repealed and replaced America’s broadest state AI law with a narrower automated-decision framework.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.
-
The AI Enforcer Already Open for Business Is Called the GDPR
While much of the AI Act’s use-based high-risk regime is set to move to December 2027, and product-integrated high-risk systems to August 2028, data-protection authorities have kept fining AI-enabled biometrics and profiling under the law already in force and ordering unlawfully collected data deleted.