Unknown deepfake detection technology developers
開発者と提供者の両方の立場で関わったインシデント
インシデント 8011 レポート
Bias in AI Deepfake Detection Undermines Election Security in Global South
2024-09-02
AI deepfake detection tools are reportedly failing voters in the Global South due to biases in their training data. These tools, which prioritize English language and Western faces, show reduced accuracy when detecting manipulated content from non-Western regions. As a result of this detection gap, election integrity faces threats from and the amplification of misinformation, which leaves journalists and researchers with inadequate resources to combat the issue.
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インシデント 8061 レポート
Criminal Group Uses AI Deepfake Technology to Steal Personal Data in Hangzhou, Zhejiang
2024-09-13
A criminal group in China used AI face-swapping technology to bypass face recognition systems on major platforms, steal personal data, and sell it to fraud syndicates. The group generated convincing video simulations from static photos to breach accounts, reportedly earning 200,000 yuan. After an investigation by the Hangzhou Public Security Bureau, four suspects were arrested across the provinces of Anhui, Guizhou, and Zhejiang.
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