← Back to Publications White Paper

The Confidence Layer: A Design Philosophy for Trustworthy AI in Evidence Generation

April 2026

The field agrees that accuracy metrics cannot tell you whether an AI research tool is trustworthy. This paper proposes a confidence layer built on four properties that make reliability visible and verifiable, embedded during construction rather than bolted on.

Download the Full Paper

PDF format, direct download.

Download PDF
This thinking is built into Budget Impact Model Developer