![]() A New Approach to Identifying and Labeling AI-Generated Content What we learn will inform industry best practices and our own approach going forward. During this time, we expect to learn much more about how people are creating and sharing AI content, what sort of transparency people find most valuable, and how these technologies evolve. ![]() ![]() We’re taking this approach through the next year, during which a number of important elections are taking place around the world. We’re building this capability now, and in the coming months we’ll start applying labels in all languages supported by each app. Being able to detect these signals will make it possible for us to label AI-generated images that users post to Facebook, Instagram and Threads. That’s why we’ve been working with industry partners to align on common technical standards that signal when a piece of content has been created using AI. We do that by applying “Imagined with AI” labels to photorealistic images created using our Meta AI feature, but we want to be able to do this with content created with other companies’ tools too. So it’s important that we help people know when photorealistic content they’re seeing has been created using AI. People are often coming across AI-generated content for the first time and our users have told us they appreciate transparency around this new technology. As a company that’s been at the cutting edge of AI development for more than a decade, it’s been hugely encouraging to witness the explosion of creativity from people using our new generative AI tools, like our Meta AI image generator which helps people create pictures with simple text prompts.Īs the difference between human and synthetic content gets blurred, people want to know where the boundary lies.
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