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Meta Pulls New AI Image Generator After Widespread Privacy Backlash
Summary
The company discontinued its 'Muse Image' feature, which used public Instagram photos for AI generation, just days after launch following criticism from users and the SAG-AFTRA union over its automatic opt-in policy.
Meta Platforms (META) has discontinued a new artificial intelligence feature just days after its launch, following significant backlash from users and organizations over privacy concerns. The tool, named Muse Image, was designed to generate images using publicly available photos from Instagram accounts.
In a statement on Friday, Meta acknowledged the criticism. "Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way," the company said, according to Reuters. "We’ve heard the feedback that this feature missed the mark, so it’s no longer available."
Automatic Opt-In Sparks Controversy
The core of the backlash centered on the feature's implementation as an automatic opt-in, meaning users' public Instagram photos were eligible for use by the AI model by default. Muse Image, the first image-generation model from Meta Superintelligence Labs, was integrated into the Meta AI chatbot and allowed users to create and edit images based on existing photos.
The policy drew immediate criticism from high-profile users and organizations. The actors' union SAG-AFTRA strongly condemned the approach, stating, "Anything other than a clear and conspicuous opt-in for these types of uses of Instagram users’ images is unacceptable." The union urged its members to opt out of the feature.
AdBroader Implications for AI Data Usage
Following Meta's reversal, SAG-AFTRA welcomed the decision. A union spokesperson called the discontinuance "the responsible thing to do," highlighting the well-known dangers of nonconsensual digital replicas.
This rapid reversal underscores the growing pressure on technology companies as they develop generative AI products. The incident demonstrates the increasing demand from the public and organized groups for transparent and explicit user consent when personal data, even if publicly shared, is used to train AI models. For investors, it signals potential reputational and regulatory risks for companies that fail to align new AI features with evolving user privacy expectations.