The Thorny Art of Deepfake Labeling

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While existing AI media disclosure practices like watermarks and labels can be removed or overlooked, activists and artists are offering promising new ways to better identify this kind of content. 📷: WIRED Staff; Getty Images

the diminished size of the disclaimer and suggested its limited value, particularly because the ad marks the first substantive use of AI in political attack advertising. As AI-generated media become more mainstream, many have argued that text-based labels, captions, and watermarks are crucial for transparency.For a label to work, it needs to be legible.

Journalism, documentary media, industry, and scientific publications have long relied on disclosures to provide audiences and users with the necessary context. Journalistic and documentary films generally use overlay text to cite sources. Warning labels and tags are ubiquitous on manufactured goods, foods, and drugs. In scientific reporting, it’s essential to disclose how data and analysis were captured.

As such, many existing AI media disclosure practices, like watermarks and labels, can be easily removed. Even when they’re there, audience members’ eyes—now trained on rapid-fire visual input—seem towatermarks and disclosures. For example, in September 2019, the well-known Italian satirical TV show

 

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