AI can produce persuasive language without a reliable evidence chain. Evidence engineering decomposes an output into claims and asks what supports each claim, what could contradict it and how uncertainty should be represented.
This approach is especially important when AI output will be published, used in policy, relied upon in a decision or presented as an expert conclusion.
Revision history
Version 1.0 — 26 July 2026: Initial publication.