SOURCE
Which source supplied the fact?
+AI / Trusted data
TRUSTED DATA FOR AI: KNOW WHAT THE MODEL MAY BELIEVE.
An AI can read a value without knowing whether it is complete, current or safe to generalize. Trusted data therefore needs context that survives retrieval and transformation.
01 / The problem
ACCESS IS NOT AUTHORITY.
Connecting an AI to more databases does not answer which source should prevail when sources conflict. It does not tell the model whether a null means unknown, whether a zero was observed, or whether a dataset covers the population named in the question.
For AI, a useful trust layer needs to carry enough context to constrain the answer rather than only enrich it.
FRESHNESS
When was it valid or refreshed?
COVERAGE
What does the dataset actually observe?
DO NOT INFER
Which conclusions are not supported by the available evidence?
02 / DataAuthority
THE ENGINE IS BEING BUILT AROUND EVIDENCE-PRESERVING OUTPUTS.
The DataAuthority Engine is intended to make source, transformations, coverage and limits available alongside the result. In our architecture, results can be decomposed into atoms — traceable fact units tied to their source and constraints. The goal is not to claim that software can automatically decide truth, but to give humans and AI systems better evidence about what the available data does and does not support.