Summary
Deepfakes threaten every aspect of society.
AI is providing one such tool in the form of deepfake detection models.
However, likealgorithms designed to identify AI-generated writing, deepfake detection tools aren’t perfect.
At this time, human discretion is the only other tool we can rely on.
So, are we any better than algorithms at identifying deepfakes?
Can Algorithms Detect Deepfakes Better Than Humans?
The top-performing model was 82.56% accurate against a dataset of publicly available videos.
We also have plenty of studies analyzing the performance of AI deepfake detection tools against human beings.
Detecting Audio Clues in Deepfakes
Detecting deepfake audio is a different challenge entirely.
Research byUSENIXidentified patterns in AI vocal tract reconstruction that fail to emulate natural speech.
Both the vocal tract and high-frequency inconsistencies are perceptible to human listeners and AI detection models.
Success rates can vary between 50% and 90+%, depending on the test parameters.
By extension, humans and machines are also fooled by deepfakes to similar extents.
Combining the strengths of humans and deepfake detection tools will mitigate the weaknesses of each and improve success rates.
that could be intentionally used to deceive human viewers.
The big question is whether deepfake detection technology will continue to outpace deepfakes themselves.
Everybody has a responsibility to learn the signs of deepfakes and how to spot them.
