The Ultimate Guide to Meta Muse AI Privacy Settings
Meta Muse is designed as a personal AI agent that can work across connected services, remember information about users, and perform tasks on their behalf. Because of that deeper access, its privacy controls are more important than those of a traditional chatbot.

Meta says Muse users can decide which services the agent connects to, control how much access it receives, disconnect services, and opt out of having Muse interactions used to train Meta's AI models.

However, there is an important distinction between Muse's own training setting and Meta's broader use of public information from Facebook and Instagram. This guide explains both, including what the available opt-out controls actually cover.

What Is Meta Muse?

Meta Muse is Meta's personal AI agent, introduced in September 2026.

Unlike a conventional chatbot that primarily waits for prompts, Muse is designed to perform tasks and work toward longer-term goals. It can interact with connected services, use a browser, remember information, and carry out actions on a user's behalf.

Meta says Muse runs inside a dedicated Muse Secure VM, where connected data and credentials are isolated. Users can choose which applications Muse connects to and can change or remove those connections.

That functionality makes privacy settings particularly important because the information available to Muse can extend beyond individual conversations.

How Meta Muse Uses Your Data

Muse can process information that users provide directly, information available through connected services, and information generated during interactions with the agent.

Meta says Muse's conversations, tool calls, and related interaction trajectories can be useful for training future versions of its AI models. Those trajectories are sanitized to remove key personally identifiable information before being used for training, according to Meta.

The important point is that AI training and account access are separate controls.

Turning off AI training does not automatically disconnect Gmail, calendars, browsers, or other services connected to Muse.

Likewise, disconnecting a service does not necessarily mean that information already processed by the service has been erased.

Meta Muse AI Training Opt-Out

Meta provides a dedicated setting allowing Muse users to stop their interactions from being used for AI model training.

The basic process is:

Open Muse → Settings → Data Controls → Turn off AI training

The setting is reported as “Help improve our AI models.” Disabling it prevents Muse data from being used for model training, according to Meta's current policy.

This is the most important setting for users whose main concern is whether their Muse interactions contribute to future AI model training.

It should not, however, be confused with a complete data-deletion option.

Opting Out of Meta's Broader AI Data Use

Meta's broader AI systems are a separate issue.

Meta has stated that its generative AI models can be developed using multiple sources, including publicly available information, licensed information, and information from Meta's own products and services.

Meta has also said that public Facebook and Instagram posts and comments have been used to develop and improve its AI products.

This means turning off Muse's AI-training setting does not automatically opt you out of every form of Meta AI data use across Facebook and Instagram.

For eligible users and regions, Meta provides a Right to Object process through its Privacy Center.

How to Use Meta's Right to Object

The objection process is primarily relevant to Meta's use of information from Facebook and Instagram for generative AI.

A typical route is:

Facebook or Instagram → Settings and Privacy → Privacy Center → AI and Privacy Information → Right to Object

From there, eligible users can submit an objection explaining that they do not want their public information used for Meta's generative AI development.

Meta's objection system has historically been particularly relevant in regions such as the European Union and United Kingdom, where data-protection rights provide stronger mechanisms for objecting to certain processing.

Availability and the exact wording of the process can vary by region, so users should check the Privacy Center associated with their account.

What Does the Right to Object Cover?

The objection process should not be understood as a universal “delete my data from Meta” button.

Its purpose is narrower.

When an objection is honored, Meta has stated that it will not use the user's public Facebook and Instagram information for developing and improving its generative AI models and AI experiences covered by the objection.

There can still be circumstances where information about a person appears in content posted by someone else.

For example, a photograph uploaded publicly by another person could contain information about you. Your own objection does not necessarily control another person's content.

This is one reason why privacy settings and audience controls remain important.

Managing Muse Permissions

AI training is only one part of Muse privacy.

Users should also review what the agent is allowed to access and do.

Meta says users can choose which applications Muse connects to and control how much access each connection receives. Connections can also be changed or disconnected later.

Important controls include:

• Connected Services: Review which apps and accounts Muse can access.
• Permissions: Limit what Muse is allowed to do within connected services.
• Disconnect: Remove services that are no longer needed.
• Memory: Review or ask Muse to forget information it has remembered.
• AI Training: Disable the use of Muse interactions for model training.

These controls solve different privacy problems.

Muse Memory and Data Deletion

Muse is designed to remember information that can make future interactions more personalized.

Meta says users can tell Muse to forget specific information it has learned.

This is different from disabling AI training.

For example:

Forget a memory

removes or addresses a specific piece of information Muse has retained.

Disable AI training

controls whether Muse interactions can be used to improve Meta's AI models.

Disconnect an app

controls whether Muse can continue accessing that connected service.

Understanding these differences is essential because changing one setting does not automatically change the others.

Muse Secure VM and Privacy

One of Meta's major privacy claims surrounding Muse is its use of the Muse Secure VM.

Muse operates inside a dedicated cloud computer designed to isolate each user's environment. Meta says connected credentials and data are stored within this environment, while a separate Sentinel system controls whether Muse can reach the internet.

Meta also says Muse does not share conversations or VM data with its advertising systems.

However, Meta notes that actions Muse performs on the wider internet can still indirectly affect advertising. For example, if Muse visits a retailer's website on a user's behalf, that external activity could potentially influence advertising from that retailer.

Privacy Settings vs. Public Posting

One of the simplest ways to reduce exposure to Meta's AI systems is to carefully control who can see your content.

Meta's privacy tools allow users to choose audiences for Facebook posts and manage visibility across its platforms.

This matters because Meta has specifically described publicly available information as one source used to develop generative AI systems.

A practical privacy strategy therefore includes:

• Review public posts.
• Restrict future post audiences.
• Review old public content.
• Check Instagram account visibility.
• Review tagged content.
• Avoid publicly posting sensitive information.
• Review connected services inside Muse.
• Turn off Muse AI training if desired.
• Use the Right to Object process where available.

What to Know at a Glance

Why Meta Muse Privacy Settings Matter

Muse represents a different type of AI relationship because it is designed to remember, connect, browse, and act, rather than simply answer questions.

That makes privacy controls more important.

The biggest mistake is treating every privacy setting as if it does the same thing.

It doesn't.

Turning off AI training addresses model development. Disconnecting an account limits future access to that service. Deleting a memory addresses retained information. Audience controls reduce who can see your social-media content.

For users concerned about Meta's broader AI data practices, the Right to Object process provides another layer of control where it is available.

🎮 The Bottom Line

Meta Muse gives users several privacy controls, but there is no single switch that manages every aspect of data use.

The most important step for Muse users who do not want their interactions contributing to AI training is to open Muse's settings and disable the AI-training option.

For Facebook and Instagram data, users should separately review their Privacy Center settings and, where available, submit a Right to Object request.

Finally, review connected apps, permissions, memories, and public posts.

The key takeaway is simple: AI training, data access, memory, and public-content visibility are different privacy issues and each needs its own control.