On Tuesday, Meta launched “Muse Image,” a new AI image-generation feature that allows users to create original images, edit existing photos, and even generate custom ads directly within its apps. But one capability has quickly become the center of controversy. Muse Image enables users to generate AI images using photos from public Instagram accounts. As long as a person’s profile is public, another user can tag that account and use their images as part of an AI-generated creation. Only private accounts and accounts belonging to users under 18 are automatically excluded from the feature.
A huge concern is consent. Users may have no idea that their public photos can be incorporated into AI-generated images by strangers, and they aren’t even notified when someone reuses their public content. Plus, making it easy to manipulate people’s images opens the door to misuse, harassment, impersonation, and nonconsensual image editing. If you’re looking to opt out of this, here’s how you can do it.
How to opt out of Meta’s Muse Image generator
- Head to your profile and click the three horizontal lines in the top-right corner.
- Scroll down to “Sharing and reuse.”
- Look for the option that says, “Allow people to use your content on Instagram with AI features on Meta.”
- Toggle the setting off for both posts and reels.
The setting is simple to find and change, but it requires manual action. Many users might not even know the option exists, which is why awareness is critical. Once toggled off, your public content will no longer be available for others to use with Muse Image. However, any images already generated using your content before you opt out may still exist. Meta has not provided a mechanism to retroactively remove your images from previously created AI outputs.
Muse Image arrives at a time when AI tools are being increasingly integrated into social media platforms. As tech companies race to roll out new generative AI features, many experts argue that stronger privacy protections and greater transparency are needed, so users fully understand how their photos and personal data are being used. Public skepticism around AI is already high. According to a Pew Research Center survey, 35% of respondents said they’re more concerned than excited about the growing use of artificial intelligence.
Additionally, Meta’s track record on user privacy has also fueled skepticism surrounding its latest AI feature. In 2019, the U.S. Federal Trade Commission (FTC) imposed a $5 billion fine against Facebook, concluding that the platform had violated a 2012 consent order by misleading users about how much control they had over their personal information. This followed a high-profile scandal where political consulting firm Cambridge Analytica gained access to data from up to 87 million Facebook users through a personality quiz app. Facebook’s platform policies at the time allowed developers to collect information about those users’ friends without their knowledge or explicit consent.
The Cambridge Analytica scandal fundamentally changed the conversation around data privacy. It showed that even when users thought they had control over their information, platform vulnerabilities could expose them to third-party exploitation. Meta’s subsequent $5 billion fine was one of the largest ever levied by the FTC, but many privacy advocates argued it was not enough to deter future violations. The commission required Facebook to implement a comprehensive privacy program and submit to regular independent audits. However, critics said the penalty lacked teeth because the company’s revenue continued to grow.
Now, with Muse Image, Meta is again asking users to trust that their data will be handled responsibly. The feature relies on the implicit consent of having a public profile. But the definition of “public” on social media has become ambiguous. Many users set their profiles to public simply to be discoverable by friends or to grow their follower base, not to provide fodder for AI training. Moreover, the ability to tag someone else’s account and use their images for AI generation means that a user’s likeness can be manipulated by people they don’t know, for purposes they didn’t authorize.
There are also legal and regulatory implications. The European Union’s General Data Protection Regulation (GDPR) requires companies to obtain explicit consent for processing personal data, including images. While Meta’s policy for minors under 18 and private accounts aligns partially with GDPR, it still treats public profiles as fair game. GDPR specifically states that consent must be freely given, specific, informed, and unambiguous. Automatically including all public Instagram photos in an AI generator may not meet that standard. Similarly, California’s Consumer Privacy Act (CCPA) gives residents the right to opt out of the sale of their personal information, and some legal experts argue that using images for AI training could be considered a “sale” under the law.
Beyond privacy, the ethical considerations are vast. AI image generators have already been criticized for perpetuating biased or harmful stereotypes, and for enabling deepfake impersonation. By allowing users to generate images of real people, Muse Image could be weaponized to create non-consensual pornographic content, defamatory images, or political propaganda. Meta has yet to implement robust safeguards beyond age restrictions and account privacy settings. Content moderation systems are still imperfect at detecting malicious uses of AI-generated media.
Some users have already begun experimenting with Muse Image since its launch, sharing creations that show how easily a stranger’s face can be transplanted into fictional scenarios. The feature is particularly concerning for photographers, models, influencers, and anyone who relies on Instagram for professional exposure. Their public galleries are now essentially open-source material for anyone to remix. Even if they opt out now, they might have already been used without their knowledge. Meta has not provided a way to audit whether your images have been used in someone else’s AI generation.
In response to the backlash, Meta representatives have stated that the company is committed to transparency and that users can control their settings. However, they have not committed to notifying users when their images are used, nor have they promised to remove previously generated images if a user later opts out. The burden remains on the individual to find the opt-out setting and act on it. For many, especially non-technical users, that may be too high a barrier.
The rollout of Muse Image is a microcosm of the broader AI dilemma facing tech companies. Innovation is racing ahead of regulation and ethical guidelines. While generative AI offers powerful creative possibilities, it also demands new frameworks for consent, attribution, and accountability. Without clear rules, users are left to navigate these tricky waters on their own. Opt-out mechanisms are a step in the right direction, but they should not be the only line of defense. Advocates are calling for “opt-in” as the default: Meta should ask for explicit permission before including any public content in AI features.
Until that changes, users who want to protect their digital likeness should follow the steps above. But they should also be aware that the setting only affects future use, not past usage. And they should consider whether they want to keep their Instagram profile public at all. For those deeply concerned, making the account private is the only foolproof way to stay out of Meta’s AI database. The company has confirmed that private accounts are excluded, as are accounts of under-18 users.
In summary, the launch of Muse Image has reignited an important debate about AI, privacy, and user rights on social media. While the feature is reminiscent of similar tools from other platforms, Meta’s unique history with data misuse gives it particular significance. Users must take immediate steps to safeguard their content, stay informed about changes to privacy policies, and voice their concerns to regulators. The future of AI-powered social media depends on whether companies can earn—and keep—the trust of their billions of users.
Source: TechCrunch News