---
title: "Meta Muse | Ethical Stack"
url: https://ethicalstack.ai/products/meta-muse/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# Meta Muse

Personal cloud agent that works through connected apps, browser tasks and long-running goals, using Meta Muse Spark.

Canonical profile: https://ethicalstack.ai/products/meta-muse/

Scope: US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Published overall: 2.3; 6/6 dimensions rated.

Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score.

Pressure target: −1 overall point.

## Energy practices

Finding: 2/10

Assessment: https://ethicalstack.ai/products/meta-muse/#energy

Muse is described as a hosted dedicated-VM agent; the product materials provide no scoped energy report, facility electricity mix or workload control evidence.

Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

Argument: Meta’s stated dedicated-cloud-VM architecture gives a basic operational boundary for the agent. The reviewed product and safety sources do not quantify energy, identify the serving facility’s electricity or document a product control linked to resource reduction; the score is limited to boundary disclosure.

Type: argument; confidence: medium

Scope (dimension): US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: VM region, model-serving route, task energy, facility electricity and resource-management controls are not disclosed in the cited product sources.

```json
{
  "method": "practices-transparency-v1",
  "scope": "US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "Meta identifies Muse as running in a dedicated cloud VM, defining a hosted operational boundary, but publishes no product-level energy report.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "The product announcement names Meta cloud hosting but does not identify the VM’s facility electricity mix.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent",
        "https://research.meta.ai/blog/security-and-safety-for-ai-agents-our-approach-with-muse"
      ]
    },
    "demand": {
      "score": 0,
      "reason": "The reviewed Muse materials provide no product-level token/context or workload resource controls tied to reduced physical demand.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent",
        "https://research.meta.ai/blog/security-and-safety-for-ai-agents-our-approach-with-muse"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [Introducing Muse: The World’s First Personal AI Agent Built for Everyone](https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent) (primary; checked not recorded)

- [How We Built Safety Into Muse](https://research.meta.ai/blog/security-and-safety-for-ai-agents-our-approach-with-muse) (primary; checked not recorded)

## Training data

Finding: 1/10

Assessment: https://ethicalstack.ai/products/meta-muse/#training-rights

Muse names Muse Spark, but the reviewed model materials do not disclose its training-source inventory, corpus rights or creator remedies.

Reason: 1 + 0 source transparency + 0 permission + 0 creator controls = 1/10, with the permission cap applied.

Argument: Meta’s product and model announcements identify Muse Spark as the fixed underlying model. The reviewed source does not provide a training-content summary or rights ledger, and user controls over agent interactions do not establish permissions for the model’s training corpus.

Type: argument; confidence: medium

Scope (profile): US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Training source categories, named datasets, source permissions and release-specific creator controls remain undisclosed in the reviewed model announcement.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": {
    "provenance": {
      "score": 0,
      "reason": "Meta identifies Muse Spark as the model but the reviewed model announcement does not inventory source datasets or corpus categories.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/"
      ]
    },
    "permissions": {
      "score": 0,
      "reason": "The reviewed Muse Spark source does not establish permissions or a rights basis for the training corpus.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/"
      ]
    },
    "creatorControls": {
      "score": 0,
      "reason": "The reviewed model announcement does not document a corpus-level creator opt-out, removal or retraining process for Muse Spark.",
      "sourceUrls": [
        "https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/"
      ]
    }
  },
  "routeDependency": null,
  "modelReference": null
}
```

- [Meta Muse Spark model announcement](https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/) (primary; checked not recorded)

- [Introducing Muse: The World’s First Personal AI Agent Built for Everyone](https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent) (primary; checked not recorded)

## Your data & privacy

Finding: 5/10

Assessment: https://ethicalstack.ai/products/meta-muse/#privacy

Meta describes a dedicated cloud VM, per-app permissions, disconnect controls and an opt-out from Meta AI model training; interactions are not used by ad systems.

Reason: 5/10 reflects documented per-app permissions, action approvals and interaction-training opt-out, balanced against hosted cloud execution and unresolved retention and rollout details.

Argument: Meta’s launch materials say each Muse runs in a dedicated cloud VM, users choose app permissions, may disconnect services, and may opt out of interactions being used to train Meta AI models. This remains a hosted product; later Confidential VM encryption was described as future, not generally available at launch.

Type: argument; confidence: medium

Scope (profile): US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Current opt-out scope, retention/deletion details, availability of Confidential VM, and third-party connector/model processing require checking current settings and terms.

- [Introducing Muse: The World’s First Personal AI Agent Built for Everyone](https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent) (primary; checked not recorded)

- [How We Built Safety Into Muse](https://research.meta.ai/blog/security-and-safety-for-ai-agents-our-approach-with-muse) (primary; checked not recorded)

## Openness

Finding: 2/10

Assessment: https://ethicalstack.ai/products/meta-muse/#openness

Muse is a hosted closed product; the agent runtime and Muse Spark model are not released as open source in the cited launch material.

Reason: 2/10 reflects a hosted consumer agent without a published source license or user-modifiable client/model route in the reviewed product materials.

Argument: Meta describes Muse as a hosted agent powered by Muse Spark and its dedicated cloud VM, without publishing the product code or downloadable weights in the cited launch documentation. Access controls and a model-training opt-out do not make the system inspectable or portable.

Type: argument; confidence: medium

Scope (profile): US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: No public model card, runtime repository, or downloadable Muse Spark weights were identified in the cited materials.

- [Introducing Muse: The World’s First Personal AI Agent Built for Everyone](https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent) (primary; checked not recorded)

## Worker protections

Finding: 7/10

Assessment: https://ethicalstack.ai/products/meta-muse/#labour

Meta now reports supplier surveys, independent factory audits and corrective-action programs, but recent reporting on its AI annotation partner Sama raised privacy and contractor-condition concerns before Meta ended that engagement.

Reason: 1 + 2 pay & conditions + 2 worker voice & remedy + 2 evidence & follow-through = 7/10. This grades documented worker safeguards, not a measured rate of mistreatment.

Argument: Meta’s FY2025 anti-slavery statement says its supplier program used independent RBA VAP audits, anonymous worker surveys and focus groups, and tailored corrective-action plans with closure review; its program is targeted to selected manufacturing suppliers, not all annotation vendors. In 2026, SvD/GP reported Sama workers handling intimate smart-glasses footage and Meta said it paused then ended the relationship because Sama did not meet its standards; AP reported more than 1,000 Sama layoffs and ongoing Kenyan litigation over earlier moderator allegations, which Meta and Sama dispute. Meta’s supplier system merits credit, while the AI-annotation accounts and subsequent contract end leave actual coverage, remediation and worker outcomes unresolved. This entry carries the same developer/operator finding to Meta Muse; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): Meta: the documented developer/operator record, not proof of deployment of Meta Muse.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: Supply-chain worker systems focus on manufacturing sites. The 2026 Sama evidence concerns third-party AI annotation and sensitive footage; allegations are reported, investigations/litigation are ongoing, and Sama denies retaliation/monitoring claims. Meta said the work had user consent, paused while investigating, and ended the contract, but did not disclose findings.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "meta",
  "company": "Meta",
  "scope": "Meta's workforce and disclosed contractors. Coverage of individual product teams may be incomplete.",
  "components": {
    "conditions": {
      "score": 2,
      "reason": "Meta reports audited supplier expectations and corrective-action systems and has made historical contractor commitments; current annotation-worker evidence is mixed and the Sama relationship was terminated after an investigation.",
      "sourceUrls": [
        "https://sustainability.atmeta.com/wp-content/uploads/2026/06/2026-Anti-Slavery-and-Human-Trafficking-Statement.pdf",
        "https://sustainability.atmeta.com/responsible-supply-chain/",
        "https://about.fb.com/news/2019/05/compensating-and-supporting-contractors/",
        "https://apnews.com/article/kenya-meta-facebook-sama-content-moderators-902716b8037bc4063dd1101e2dbd4c3a",
        "https://www.svd.se/a/zOlP6K/meta-halts-ai-training-after-svd-gp-investigation"
      ]
    },
    "voice": {
      "score": 2,
      "reason": "Meta reports anonymous worker surveys, focus groups and grievance strengthening at selected supplier sites; public reporting also documents workers speaking out, but it does not establish effective channels or remedies for annotation workers at Sama.",
      "sourceUrls": [
        "https://sustainability.atmeta.com/wp-content/uploads/2026/06/2026-Anti-Slavery-and-Human-Trafficking-Statement.pdf",
        "https://sustainability.atmeta.com/responsible-supply-chain/",
        "https://apnews.com/article/kenya-meta-facebook-sama-content-moderators-902716b8037bc4063dd1101e2dbd4c3a",
        "https://www.svd.se/a/zOlP6K/meta-halts-ai-training-after-svd-gp-investigation"
      ]
    },
    "assurance": {
      "score": 2,
      "reason": "Meta reports third-party RBA VAP audits, corrective-action plans and closure audits for selected manufacturing suppliers; it has not published independent outcome findings on the Sama AI annotation concerns.",
      "sourceUrls": [
        "https://sustainability.atmeta.com/wp-content/uploads/2026/06/2026-Anti-Slavery-and-Human-Trafficking-Statement.pdf",
        "https://sustainability.atmeta.com/responsible-supply-chain/",
        "https://apnews.com/article/kenya-meta-facebook-sama-content-moderators-902716b8037bc4063dd1101e2dbd4c3a",
        "https://www.svd.se/a/zOlP6K/meta-halts-ai-training-after-svd-gp-investigation"
      ]
    }
  },
  "disclosureLimited": false,
  "meaning": "This grades documented worker safeguards, not a measured rate of mistreatment."
}
```

- [2026 Anti-Slavery and Human Trafficking Statement](https://sustainability.atmeta.com/wp-content/uploads/2026/06/2026-Anti-Slavery-and-Human-Trafficking-Statement.pdf) (primary; checked 2026-10-24)

- [Responsible Supply Chain - Meta Sustainability](https://sustainability.atmeta.com/responsible-supply-chain/) (primary; checked 2026-10-24)

- [Former Meta contractor Sama to lay off more than 1,000 workers in Kenya](https://apnews.com/article/kenya-meta-facebook-sama-content-moderators-902716b8037bc4063dd1101e2dbd4c3a) (independent; checked 2026-10-24)

- [Meta Halts AI Training After SvD/GP Investigation](https://www.svd.se/a/zOlP6K/meta-halts-ai-training-after-svd-gp-investigation) (independent; checked 2026-10-24)

- [An Update on Compensating and Supporting Facebook's Contractors](https://about.fb.com/news/2019/05/compensating-and-supporting-contractors/) (primary; checked 2026-10-24)

## Military ties

Finding: 3/10

Assessment: https://ethicalstack.ai/products/meta-muse/#military-contracts

Meta publicly describes Llama access for defense and national-security partners, including a deployed special-operations assistant; evidence supports defense use but not targeting, strike decisions, or combat intelligence.

Reason: 1 + 0 use restrictions + 0 enforcement & oversight + 2 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: Meta’s September 2025 national-security announcement says Llama is powering the USSOCOM SOFChat assistant and describes mission-support examples such as faster intelligence report production and video analysis/monitoring of field conditions. Meta also makes Llama available to selected U.S. allies. This establishes real defense support and not mere abstract availability, but the reviewed public sources do not establish that Llama selects targets, supports strikes, or supplies combat intelligence. Meta’s broad distribution limits visibility into downstream uses and the reviewed materials disclose no binding military weapons/surveillance restrictions or independent use oversight. Classify the named described use as limited-defense support, not direct combat use. This entry carries the same developer/operator finding to Meta Muse; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: high

Scope (dimension): Meta: the documented developer/operator record, not proof of deployment of Meta Muse.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: Meta does not identify all deployed model versions, exact field use, downstream applications, operational safeguards, or review outcomes. No source establishes that Llama is used for weapons targeting or a particular strike.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "meta",
  "company": "Meta",
  "scope": "Meta's relationships and safeguards. A company relationship does not identify every product or release used.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "The reviewed Meta defense announcements describe partner access and examples but do not disclose binding weapons, targeting or harmful-surveillance restrictions.",
      "sourceUrls": [
        "https://about.fb.com/news/2025/09/meta-supporting-us-national-security-with-ai/",
        "https://about.fb.com/news/2025/09/strengthening-us-national-security-by-making-llama-available-to-key-allies/"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "Meta publishes no military-specific use review, enforcement mechanism or independent outcome evidence in the reviewed defense announcements.",
      "sourceUrls": [
        "https://about.fb.com/news/2025/09/meta-supporting-us-national-security-with-ai/",
        "https://about.fb.com/news/2025/09/strengthening-us-national-security-by-making-llama-available-to-key-allies/"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "Meta names the USSOCOM SOFChat deployment and gives examples of report-generation and field-video analysis, while not disclosing downstream auditability or mission-level limits.",
      "sourceUrls": [
        "https://about.fb.com/news/2025/09/meta-supporting-us-national-security-with-ai/",
        "https://about.fb.com/news/2025/09/strengthening-us-national-security-by-making-llama-available-to-key-allies/"
      ]
    }
  },
  "relationship": "limited-defense",
  "relationshipReason": "Named special-operations support deployment and allied availability are documented, but no evidence reviewed ties Llama to targeting, strike decisions, or combat intelligence; limited-defense support classification applies.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 6,
  "disclosureLimited": true,
  "meaning": "Known military relationships take priority over missing safeguards. The rating does not establish the probability of an undisclosed contract."
}
```

- [Meta: Supporting US national security with AI](https://about.fb.com/news/2025/09/meta-supporting-us-national-security-with-ai/) (primary; checked 2026-10-23)

- [Meta: Strengthening US national security by making Llama available to key allies](https://about.fb.com/news/2025/09/strengthening-us-national-security-by-making-llama-available-to-key-allies/) (primary; checked 2026-10-23)

## BDS targets

Finding: Pressure target

Assessment: https://ethicalstack.ai/products/meta-muse/#israel-palestine

Meta is listed as a pressure target in the BNC No Tech campaign; this is company scope, not evidence about Muse deployment.

Reason: Campaign category, excluded from numerical scoring.

Argument: The BNC No Tech campaign explicitly lists Meta among its technology targets. The match is to Meta as company; it does not establish an operational relationship between Muse and any named military program.

Type: argument; confidence: medium

Scope (profile): US rollout of Meta’s hosted consumer agent. Muse Secure VM runs in Meta cloud; connected app access and permitted actions are user-configured.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: This is limited to the two official BNC campaign sources; it does not cover every local campaign, supplier, investment, or future change.

- [BNC No Tech campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (primary; checked not recorded)

## Reading the evidence

- Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns.

- Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct.

- Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment.

- Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap.

- Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical.

- No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score.

- Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification.

Methodology: https://ethicalstack.ai/methodology/