Deepfake detection improves when using algorithms that are more aware of demographic diversity

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Deepfakes News

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Although companies have created detectors to help spot deepfakes, studies find that biases in the data used to train these tools can lead to certain demographic groups being unfairly targeted

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My team and I discovered new methods that improve both the fairness and the accuracy of the algorithms used to detect deepfakes. The other aimed to improve fairness without relying on demographic labels by focusing instead on features not visible to the human eye. We believe fairness and accuracy are crucial if the public is to accept artificial intelligence technology. When large language models like ChatGPT “hallucinate,”

Source: News Formal (newsformal.com)

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