Meta has discontinued a feature within its new Muse Image AI model that allowed users to generate AI images by referencing public Instagram accounts, following widespread criticism over privacy and consent. The capability enabled users to generate AI images by @-mentioning public Instagram accounts, allowing Meta AI to reference photos from those profiles. Public accounts were eligible by default unless users disabled the setting.
The feature was introduced as part of Meta's broader expansion of generative AI tools across its platforms. Shortly after launch, however, privacy advocates, creators, and industry organizations raised concerns that the system could enable unauthorized digital representations of individuals without their explicit permission. Critics argued that relying on an opt-out approach did not provide sufficient user control over how publicly shared images could be used in AI-generated content.
Meta acknowledged the criticism and confirmed that it had removed the feature, stating that the rollout "missed the mark." The company said it would continue evaluating how AI-powered creative tools should operate while balancing innovation with user expectations around privacy and consent. Among the organizations criticizing the feature was SAG-AFTRA, which argued that systems capable of generating realistic depictions of individuals should require affirmative consent before using a person's likeness. Following Meta's decision, the union welcomed the removal of the feature.
The episode reflects growing scrutiny of how generative AI systems incorporate publicly available images into creative workflows. As AI image generation becomes increasingly sophisticated, technology companies face mounting pressure to demonstrate that new capabilities include transparent safeguards and meaningful user controls rather than relying on default participation. Although Meta has removed the Instagram account-referencing feature, Muse Image remains part of the company's broader investment in generative AI. The rapid reversal underscores how questions of consent, transparency, and governance are becoming central considerations in the deployment of consumer AI products.
