EduDetector
Benchmarks, methodology notes, and policy guidance for teams that need AI-writing detection to be accurate, explainable, and responsible.
EduDetector's January 2026 internal benchmark — 99.5% accuracy with a 0.5% false-positive rate on 20,000 balanced documents — and how detector accuracy is evaluated across current AI models, edited drafts, and human writing.
A practical framework for lowering false-positive risk in academic and editorial AI-content reviews.
How EduDetector approaches AI detection for multilingual writing and translated documents.