Professional Development · Digital Literacy & Critical Thinking · Spotting Manipulation
Deepfakes and AI-Generated Content — What Detection Actually Tells You in 2026
4 Abschnitte1 Karteikarten-Decks1 Quizze
Deepfake detection tools exist, but their limitations are as important as their capabilities. This topic explains how deepfakes are created, what detection can and cannot establish, and the broader question of how to maintain trust in visual evidence in an era of increasingly capable generative AI — including the 'liar's dividend' risk that deepfakes make it easier to deny real footage.
Inhaltsübersicht
- How Deepfakes Are Made: The Technology Without the Code
- What Detection Tools Do — and Where They Fail
- The Liar's Dividend and the Erosion of Visual Trust
- The Broader Landscape: Text, Image, Video, Audio — and What Contextualisation Offers
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