What AI Watermarking Actually Does (and Doesn't) Prevent
AI watermarking is often proposed as a fix for synthetic media concerns. Here's what it actually does and doesn't solve.
AI watermarking embeds a signal, sometimes visible, often invisible to the naked eye, into AI-generated content that lets a compatible detection tool identify it as artificially generated.
What it can genuinely help with
A properly implemented, difficult-to-remove watermark makes it possible for platforms and researchers to more reliably identify AI-generated content at scale, which is genuinely useful for content moderation and research purposes.
What it doesn't actually solve
Watermarks can potentially be stripped out through basic editing, don't apply retroactively to already-generated content circulating without one, and only work at all if every major AI provider consistently implements compatible standards, which is far from guaranteed given the many different companies and open models currently available.