Copyleaks and false positives

Plagiarism and AI detection combined, common in education and publishing workflows.

What it claims

Its own FAQ advises that detection data should be used to investigate further and describes false positives as a known risk, particularly for certain kinds of writing.

Where it fails

Combining plagiarism and AI scoring in one interface invites decision-makers to treat two very different measurements as one.

How to respond

Separate the two questions explicitly. A plagiarism result and an AI likelihood score are not related and do not corroborate each other.

Worth knowing

If a report shows both, ask which one the decision is actually resting on.