Instagram "Made with AI" - What Does It Mean and How Does It Work?

An image of the Instagram "Made with AI" label on a post

An image of the Instagram "Made with AI" label on a post

Instagram recently introduced the “Made with AI” label to posts and stories, sparking curiosity among many users. Whether you’ve seen this label on your own posts or those of others, you might be wondering what it signifies.

Much like the “Just Seen” and “Just Watched” labels, the meaning of this label also seems straightforward. However, there is more to understand about the implications of the “Made with AI” label and how it is applied.

In this guide, we will reveal the meaning of the “Made with AI” label on Instagram and explain how the labelling process works. But, before that, you might want to turn off the Meta AI on Instagram.

What Does the "Made with AI" Label Mean on Instagram?

On Instagram, the “Made with AI” label on a post or a story indicates that generative AI might have been used to create or edit the content in that particular post. The keyword here is “might,” as it is not a definite confirmation.

The purpose of the label is to help users identify AI-generated content. With the prevalence of AI image generators such as Midjourney and Stable Diffusion, which create ultra-realistic images, it has become crucial to add labels to make them identifiable.

How Does the "Made with AI" Label Work?

There are two ways Instagram labels a post or a story as “Made with AI.” One, when people add this label while sharing content made with AI. Two, Instagram adds it when people share content that has AI signals detectable by their systems.

However, content without a label may still have been created with AI. If the user who uploaded it does not label it as AI-generated and Instagram’s systems cannot detect it, it will not be labelled. Also, the label is only shown in the Instagram app; not in the web version.

Many reports have shown that users’ content is wrongly labelled as “Made with AI” by Instagram, likely because the system is not yet perfect at identifying AI-generated content. However, with more data and training, it is expected to become more accurate.

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