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The European Commission states that pornographic material accounts for about 98 % of deepfakes

Source: Children and deepfakes by the European Parliamentary Research Service

Even professional text reviewers experts struggle to distinguish real content from AI-generated material

Source: Can linguists distinguish between ChatGPT/AI and human writing?: A study of research ethics and academic publishing by J. Elliott Casal and Matt Kessler

Deepfakes were identified as one out of ten issues to watch

Source: European Parliamentary Research Service Report

One in four adults had experienced or known someone affected by an AI voice cloning scam

Source: Artificial Intelligence Voice Scams on the Rise with 1 in 4 Adults Impacted by McAfee Corp.

Educational materials

DETECTOR’s Approach of Building Trustworthy Forensic AI

Deepfake Detection in Practice: How EITHOS Prepared the Ground for DETECTOR

Synthetic Media and Deepfakes: The New Face of Cyber Threats

Micro expressions VS Deepfakes

Real or Fake?

Common Scams of the Internet: Part 3 – Deepfakes

DETECTOR Brand Guidelines

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