Case & CodeA FIELD GUIDE TO AI
Start learning
Intermediate

False positive

Also: false positives

In plain words

Something the system flagged that it should not have.

The fuller definition

A false positive is an item incorrectly classified as meeting the target condition.

A ten-event extraction test
FoundE01
FoundE02
FoundE03
FoundE04
FoundE05
FoundE06
MissedE07
MissedE08
MissedE09
MissedE10
Unsupported result AUnsupported result B
Precision: 6 / 8 = 75%Recall: 6 / 10 = 60%

The reference set has ten relevant events. Six are found, four are missed, and two additional returned items are unsupported. This example measures extraction, not every aspect of a legal work product.

A concrete example

An extraction labels a request as an undertaking even though no commitment was made.

The distinction that matters

Whether a result is false depends on the stated target and reference judgment.

Related terms

Where it is taught

Test an AI workflow on work you can assess

Source and further reading

Anthropic · Evaluating AI agents

The definition and example are written for this library. The link gives background, official documentation or legal authority as labelled. Legal scope depends on the jurisdiction and current text; product features depend on release and settings.

Lessons, terms, practical guides and sources ESC