DOI: 10.56367/oag-052-12762 ISSN: 2516-3817

Detector: Building trustworthy AI for deepfake detection

Dimitrios Zarpalas, Antonia Koumpoti, Martina Franciosi, Luis Unzueta

Detector: Building trustworthy AI for deepfake detection

DETECTOR examines how Europe can develop high-risk AI for deepfake detection while safeguarding personal data and fundamental rights. Europe’s artificial intelligence (AI) debate is moving from rule-making to implementation, with no higher stakes than in criminal justice. Manipulated media may shape an investigation, while authentic material may be dismissed as fake. Law enforcement authorities (LEAs) and forensic institutes therefore need more than a binary ‘real or fake’ score: they need methods whose results can be understood, tested, and challenged.

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