Meta announced the introduction of a new policy for labeling AI-generated content on its main platforms - Facebook, Instagram, and Threads. The changes are intended to make it easier for users to distinguish between content created by humans and algorithms.
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In the face of dynamic AI technology development, Meta has decided to take a significant step forward. The company announced the introduction of special labels for content generated by users using artificial intelligence. This applies to both illustrations and audio and video files created using Meta AI and other tools available on the market.
In the coming months, we will be labeling materials published by users on Facebook, Instagram, and Threads if we detect standard indicators used in the industry to distinguish materials created by AI. [...] At this time, we expect to learn much more about how people create and share AI content, what kind of transparency they consider most valuable, and how these technologies evolve - Meta informs on its blog.
The planned implementation is to cover all languages available on Meta platforms.
Meta is also engaging in cooperation with technology companies through organizations such as the Partnership for Artificial Intelligence (PAI), to jointly develop standards for identifying AI-generated content. Invisible tags used by the company, including IPTC metadata and invisible watermarks, are in line with PAI best practices.
Thanks to new tools created by Meta, it will be possible to label images originating from sources such as Google, OpenAI, Microsoft, Adobe, Midjourney, and Shutterstock.
In addition, the company plans to introduce new features on Facebook, Threads, and Instagram that will allow users to independently label any content created using artificial intelligence, including video and audio materials. If these rules are not followed, the platform may impose penalties on those who do not label their materials in accordance with the new guidelines.
This will be particularly important in the context of content that may mislead or influence public opinion on important matters. In such cases, Meta announces the placement of more visible labels to provide users with a fuller context and facilitate understanding of the potential impact of such materials.
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