Researchers tested the idea that an AI model may have an advantage in self-detecting its own content because the detection was leveraging the same training and datasets. What they didn’t expect to find was that out of the three AI models they tested, the content generated by one of them was so undetectable that even the AI that generated it couldn’t detect it.

The study was conducted by researchers from the Department of Computer Science, Lyle School of Engineering at Southern Methodist University.

AI Content Detection

Many AI detectors are trained to look for the telltale signals of AI generated content. These signals are called “artifacts” which are generated because of the underlying transformer technology. But other artifacts are unique to each foundation model (the Large Language Model the AI is based on).

These artifacts are unique to each AI and they arise from the distinctive training data and fine tuning that is always different from one AI model to the next.

The…

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