FairByDesign Reporting
AI accountability
All reportingInvestigationsMercury BriefField papersGovernance resourcesNews
-
The Correlated Decision Problem
Part 6 of The Evidence Chain. He applied at 12:55 a.m. and was rejected by 1:50. When many employers and lenders read you through the same model, a hundred rejections…
-
The Preference Poisoning Problem
Part 4 of The Evidence Chain. Thirty-one companies were caught planting hidden prompts that tell AI assistants whom to trust. Your agent stays loyal, just to a version of you…
-
The Representation Gap
A US appeals court ruled that when an AI agent shops on Amazon, the user is the one acting. That protects your choice of tools, and puts every choice the…
-
The Authorization Gap
She asked her AI agent to suggest what to delete. It started deleting. When you click “allow,” can anyone prove the action that ran was the one you approved, using…
-
The Reconstruction Gap
When an AI evaluation agent breached Hugging Face in July 2026, the victim reconstructed it before the lab did. Who holds the record of what an AI did, and why…
-
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…
-
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…