Meta has withdrawn a controversial feature in its newly launched Muse Image artificial intelligence model that allowed users to generate AI images based on public Instagram accounts simply by mentioning those accounts in prompts, following widespread criticism over privacy and consent.
The company announced on Friday that it had removed the capability just days after unveiling Muse Image, acknowledging that the feature had failed to meet users’ expectations despite being introduced as a creative tool.
“Earlier this week, we announced that one way for people to generate images in Meta AI is by @-mentioning public Instagram accounts that they want to reference,” Meta said in a blog update.
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“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. We’ve heard the feedback that this feature missed the mark, so it’s no longer available.”
The reversal marks one of Meta’s quickest rollbacks of an AI feature, underscoring the growing scrutiny technology companies face as they introduce increasingly powerful generative AI tools that interact with users’ personal data and online identities.
Muse Image, introduced earlier this week by Meta Superintelligence Labs, is Meta’s first dedicated image-generation model and is part of the company’s broader strategy to integrate generative AI across its product ecosystem.
Alongside image generation, the model powers AI-driven visual effects for Instagram Stories and image creation inside WhatsApp conversations.
However, the Instagram account reference feature immediately became the center of controversy because every public Instagram account was automatically eligible to be used as a visual reference.
Users quickly pointed out that anyone could generate AI-created images inspired by a person’s public Instagram profile simply by tagging the account in a prompt, even if the account owner had never actively agreed to participate.
Although Meta provided an opt-out mechanism, critics argued that the default setting effectively enrolled millions of public Instagram users without explicit consent. For many privacy advocates, the issue was not simply whether users could opt out, but why they had been opted in automatically in the first place.
The controversy highlighted a broader debate surrounding AI development and user consent. People wishing to prevent their public Instagram content from being referenced had only two options: manually disable the feature by following Meta’s opt-out process or make their Instagram accounts private.
Privacy campaigners argued that requiring users to discover and disable the feature shifted responsibility away from the company, while exposing creators, influencers, journalists and ordinary users to unwanted AI-generated content.
The incident also renewed criticism of technology companies relying on default participation models when introducing AI features built on publicly available user content.
Before reversing the feature, Meta had attempted to reassure users that adequate safeguards were already in place.
As criticism intensified, the company told Yahoo Tech that it had “built Muse Image with strong controls and safety guardrails from day one.” But the explanation failed to ease concerns, with many users arguing that safety measures did not address the underlying issue of consent.
Meta ultimately acknowledged the criticism by removing the capability altogether rather than modifying it. The company did not indicate whether the feature could return in a revised form with stronger privacy protections or an explicit opt-in process.
Meta’s incident is just one of many in the industry, which has seen AI developers increasingly being forced to revise products following public backlash over privacy, copyright and data usage. Technology companies are under growing pressure from regulators worldwide to demonstrate that AI systems respect user consent and provide meaningful transparency over how personal content is collected, referenced and processed.
The incident comes as governments in several jurisdictions examine whether existing privacy and consumer protection laws adequately address the rapid deployment of generative AI technologies. For Meta, this exposes the delicate balance between expanding AI capabilities and maintaining user trust, particularly as the company seeks to position its AI products as central features across Instagram, WhatsApp and Facebook.
The episode also signals that consumer reaction may increasingly shape how quickly companies deploy or withdraw AI features, especially when they involve personal data or publicly shared content.