The Confidence Score Trap
Attaching a confidence score to every extracted field feels like a transparency win. Uncalibrated, it's worse than nothing — it launders uncertainty into a number users can't act on.
Attaching a confidence score to every extracted field feels like a transparency win. Uncalibrated, it's worse than nothing — it launders uncertainty into a number users can't act on.
When document extraction returns an empty field, there are two very different reasons. Collapsing them into a single null output is a design mistake that quietly destroys trust.
There's a line between what a document processing system can extract and what requires domain reasoning. Getting that line wrong in either direction is expensive.
Document processing tools that work on short documents often break on long ones. Large-doc support needs to be a day-one requirement, not a later addition.
An AI-extracted output without a source citation is a claim. The same output with a citation — page number, table, line — is auditable work product. The citation is what makes the output usable in professional contexts, not a nice-to-have.