The current proposal for watermarking AI material does not stop other actors who get their hands on the technology or methods to apply them separately to remove the watermarks.
Current fail-safe measures designed to ensure material generated by artificial intelligence is clearly labeled does not meet an appropriate standard and may not be possible with current technology, an expert warns.
But studies from multiple American universities have found it not only possible but relatively accessible for users to remove or 'break' the watermarks. Researchers from the University of California, Santa Barbara, and Carnegie Mellon in August found the watermarks 'provably removable' – not just specific examples but any example they came across.
His company can only determine AI-generated text material through examination to determine possible sources for the material since AI-generated material is not original but based on already existing material to train the models. One of the issues that security firms face is that as the methods of detection improve, so do the methods of avoiding detection.
We become more and more clever every day in discovering that it’s more sophisticated than it was 10 years ago,' Wilkowski said. 'It’s about discovering irregularities; it’s about discovering that someone made a wire transfer in the middle of the night or about someone doing wire transfers from a completely different place in the world while, actually, a few minutes ago they were in a completely different position,' he added.
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