Image credits: Getty Images via AFP

AI Image Labeling: Meta Takes Initiative to Combat Misinformation on Instagram and Facebook

Meta is working to detect and label artificial intelligence (AI)-generated images on Facebook, Instagram and Threads as the company pushes to report “people and organizations who actively want to scam people.”

Images fotorimages created using the image tool artificial intelligence of Meta are already labeled as AI, but the company's president of global affairs, Nick Clegg, announced in a blog on Tuesday (6) that the Meta workaria to start labeling AI-generated images developed in rival services.

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Meta's AI images already contain metadata and invisible watermarks that can inform other organizations that the image was powered by AI, and the company is developing tools to identify these types of markers when used by other companies, such as Google, OpenAI, Microsoft, Adobe, Midjourney e Shutterstock in your AI image generators, Clegg said..

“As the difference between human and synthetic content becomes blurred, people want to know where the line is,” Clegg said. “People often encounter AI-generated content for the first time and our users have told us they appreciate the transparency around this new technology. Therefore, it is important that we help people know when content fotorrealistic view you are seeing was created using AI,” he added.

Meta's president of global affairs stated that capacity is being built and labels will be applied in all languages ​​in the coming months.

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Identification limited to AI-generated images

Clegg noted that tagging was limited to images and that AI tools that generate audio and video do not currently include these tags, but the company would allow people to disclose and add tags to this content when posted online.

He said that Meta also placedaria a more prominent label on “digitally created or altered” images, videos, or audio that “create a particularly high risk of materially misleading the public about a matter of importance.”

The company was also looking to develop technology to automatically detect AI-generated content, even if the content does not have invisible markers or where those markers have been removed.

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“This work is especially important because it is likely to become an increasingly adversarial space in the coming years,” Clegg said.

“People and organizations who want to actively deceive others with AI-generated content will look for ways to bypass the safeguards put in place to detect it. Across our industry and society at large, we will need to continue looking for ways to stay one step ahead.”

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