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

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

"Our research addresses deepfake detection algorithms' fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect."

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

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

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

The Catch-22 of Cybersecurity in the Age of AI | Dinsmore & Shohl LLP - Vimarsana News

The Catch-22 of Cybersecurity in the Age of AI | Dinsmore & Shohl LLP

Although artificial intelligence (“AI”) improves how businesses interact with customers, process sales, manage inventory and more, it also heralds new and unique cybersecurity risks....

Study: New deepfake detector designed to be less biased - Vimarsana News

Study: New deepfake detector designed to be less biased

BUFFALO — The image spoke for itself.

Demographic-agnostic tool for deepfake detection shows promise - Vimarsana News

Demographic-agnostic tool for deepfake detection shows promise

A group of U.S. researchers say they have created the first deepfake detection algorithms successfully designed to be less biased.