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How accurate are current deepfake detection technologies?

AI ProductRisks

Drawn from Lutz Finger's Forbes column, LinkedIn writing, and Cornell teaching. Sources are cited inline so you can read the originals.

Detection tools fail more often than they succeed right now.

Current deepfake detection technology isn’t very good yet. The best deepfake detector is only 65% accurate. Even Microsoft’s Azure Cognitive Services was fooled over 78% of the time. This means detection tools fail more often than they succeed. The future of these detectors will mirror bot detectors, spam detectors, or any other cyber threat detectors. It will be an arms race between those creating deepfakes and those trying to detect them, similar to how spam and virus detection evolved over time.

Deepfakes - The Danger Of Artificial Intelligence That We Will Learn To Manage Better · Forbes


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