DETECTOR: Building Trustwortly AI for Deepfake Detection

Authors
A. Koumpoti
M. Franciosi
L. Unzueta
D. Zarpalas
Year
2026
Venue
Open Access Government
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Abstract

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 s 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.