An early look at cryptographic watermarks for AI-generated content
Published on: 2025-06-09 16:05:45
17 min read
Generative AI is reshaping many aspects of our lives, from how we work and learn, to how we play and interact. Given that it's Security Week, it's a good time to think about some of the unintended consequences of this information revolution and the role that we play in bringing them about.
Today's web is full of AI-generated content: text, code, images, audio, and video can all be generated by machines, normally based on a prompt from a human. Some models have become so sophisticated that distinguishing their artifacts — that is, the text, audio, and video they generate — from everything else can be quite difficult, even for machines themselves . This difficulty creates a number of challenges. On the one hand, those who train and deploy generative AI need to be able to identify AI-created artifacts they scrape from websites in order to avoid polluting their training data . On the other hand, the origin of these artifacts may be intentionally misrepresented, creating myria
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