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Meta is changing how itās labeling AI images on Facebook and Instagram after photographers were caught in the crossfire between the brand and its increasingly robot-driven feeds.
Iām a couple decades too young to spend too much time on Facebook, but much has been said about how AI-generated images have taken over the website, often tied to misinformation about new movies or, more dangerously, world events. It didnāt take me more than a minute of scrolling to find this AI-generated series of images claiming to be from a live action Rugrats movie. Take note of Tommy Picklesā backwards head.
Credit: Michelle Ehrhardt
Meta isnāt wholly complacent here, as the company does try to label AI images using a āMade with AIā tag when it detects them. While the images I saw werenāt tagged yet, the post I saw ironically had a blurb from Meta AI attached to it pointing out that the images were āAI-generated.ā Unfortunately, these solutions are now affecting genuine photographers using common post-processing effects.
In a post to its newsroom, Meta says āsome content that included minor modifications using AI, such as retouching tools, included industry standard indicators that were then labeled āMade with AI.āā To avoid claiming whole images were generated with AI when they were not, the company is now changing its āMade with AIā label to read āAI info,ā which users will be able to click on for more details about how exactly AI was used.
This could possibly be a temporary approach, as Meta says itās currently working with ācompanies across the industryā to refine its labeling approach. But itās a hard line to walk.
Artists have complained that even when theyāve used no AI tools, their images have been flagged as āMade with AI,ā implying that they were generated from the ground up. For example, a Pride Month image from tech influencer iJustine was tagged as āMade with AIā after she changed the color of its background and added a lens flare.
At the same time, requiring users to click through to find how AI was used to make an image could reduce the tagās usefulness. It also might still fail to address photographerās concerns, depending on how accurate the tagās information is.
Full story here:
Iām a couple decades too young to spend too much time on Facebook, but much has been said about how AI-generated images have taken over the website, often tied to misinformation about new movies or, more dangerously, world events. It didnāt take me more than a minute of scrolling to find this AI-generated series of images claiming to be from a live action Rugrats movie. Take note of Tommy Picklesā backwards head.
Credit: Michelle Ehrhardt
Meta isnāt wholly complacent here, as the company does try to label AI images using a āMade with AIā tag when it detects them. While the images I saw werenāt tagged yet, the post I saw ironically had a blurb from Meta AI attached to it pointing out that the images were āAI-generated.ā Unfortunately, these solutions are now affecting genuine photographers using common post-processing effects.
In a post to its newsroom, Meta says āsome content that included minor modifications using AI, such as retouching tools, included industry standard indicators that were then labeled āMade with AI.āā To avoid claiming whole images were generated with AI when they were not, the company is now changing its āMade with AIā label to read āAI info,ā which users will be able to click on for more details about how exactly AI was used.
This could possibly be a temporary approach, as Meta says itās currently working with ācompanies across the industryā to refine its labeling approach. But itās a hard line to walk.
Artists have complained that even when theyāve used no AI tools, their images have been flagged as āMade with AI,ā implying that they were generated from the ground up. For example, a Pride Month image from tech influencer iJustine was tagged as āMade with AIā after she changed the color of its background and added a lens flare.
At the same time, requiring users to click through to find how AI was used to make an image could reduce the tagās usefulness. It also might still fail to address photographerās concerns, depending on how accurate the tagās information is.
Full story here: