Bias in AI Deepfake Detection Undermines Election Security in Global South

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.