Google Devises Watermarking Solution for its AI-Generated Text

Researchers from Google's DeepMind HQ in Britain have invented a new, seamless way to label AI-generated text. Publishing their findings in Nature magazine, the researchers claim it can help identify when writing was first generated by Google's own AI model - Gemini.

While it gives some industries peace of mind, it can also stop AI models from cannibalizing their own content and experiencing model collapse.

Google Search's Interest in AI

Google's interest in a watermarking solution shouldn't come as a surprise. Google doesn't just operate its own AI - Gemini - but it's also on the front line of judging content quality from human and AI sources through its search engine.

To that end, they are always refining their search algorithms to better judge pages on writing quality and user intent. Using those, Google directs users to the content they want to see by using keywords and search trends. For example, it associates keywords like 'buy' with product-selling sites or 'play' with iGaming sites. Then, a 'play' search for online roulette will return a site like PeerGame where digital roulette, blackjack, and other games are on offer. This works quite straightforwardly for sites that offer services, like e-commerce and iGaming sites. However, for sites that deal with the written word, Google needs to be more stringent about what that written content says and how it has been generated.

Like every large language model (LLM), it can also generate text. Now DeepMind researchers in London have published a seamless, invisible way to watermark Gemini's writing output, so others can tell when content is AI generated. It isn't the first attempt at watermarking AI writing, but it's the first that can be applied at-scale, in real-time, with no performance loss from Gemini. This tool, called SynthID-Text, first debuted in this Nature magazine study.