AI watermarking

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AI watermarking is a technique that modifies the output of generative AI models, such as large language models (LLMs), allowing it to be later identified as AI-generated. Watermarks are one of several techniques used for AI content detection, and include both traditional digital watermarking techniques on media files and metadata, and text watermarking techniques specific to LLMs that have been developed during the 2020s AI boom. Recent research in text watermarking has focused on statistical watermarking techniques, which were first introduced in 2022, with the first production deployments in 2024. Most deployed text watermarking algorithms use a secret only known to the specific model provider, and the detection algorithm requires knowing the secret, as the text is not distinguished in a generally human or machine-readable way. As a result, determining if text is watermarked requires access to the secret, or sending the text to an API provided by the model provider, and there is no general...

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