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Google’s SynthID Detector Exposes Hidden Watermark in AI-Generated Content

Key Takeaways

  • ​Google’s SynthID Detector reveals AI-generated content by spotting hidden watermarks in text, images, video, and audio;
  • The tool launched as schools face rising cases of students using AI tools like ChatGPT for assignments;
  • SynthID Detector marks AI-generated text by subtly adjusting word choices without changing meaning or readability.

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Google’s SynthID Detector Exposes Hidden Watermark in AI-Generated Content

On May 20, Google’s DeepMind introduced a new tool to help people identify whether content, such as text, images, audio, or video, was made using its artificial intelligence (AI) systems.

The tool, called SynthID Detector, looks for hidden watermarks built into content created by Google’s AI models. These watermarks can be picked up by the tool to show that something was made with AI.

This launch comes at a time when educators are dealing with more students using AI to complete assignments. According to a report from New York Magazine, a professor at Santa Clara University asked students to write personal reflections, only to discover that one had used ChatGPT instead.

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Google first introduced SynthID in August 2023 to detect AI-generated images. SynthID Detector expands that idea to audio, video, and written content.

It works across Google’s AI tools, including Imagen, Lyria, and text tools inside NotebookLM and Gemini AI.

In the announcement, Google explained:

For text, SynthID looks at which words are going to be generated next, and changes the probability for suitable word choices that wouldn't affect the overall text quality and utility.

They added that if a passage includes many of these chosen word patterns, it will likely be detected as AI-written.

Meanwhile, a journalist at Android Authority recently discovered that Google's Gemini AI works during flights even without paid Wi-Fi. How? Read the full story.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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