Provision record
Pinterest · Pinterest Privacy Policy · View original document ↗

AI Model Training on User Pins

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Document Record

What it is

The policy authorizes Pinterest to use content from user-posted Pins, including images, to train machine learning models and support generative AI features, with no restriction on the age or date of the Pins used.

This analysis describes what Pinterest's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

This provision asserts that Pinterest may use any Pins posted to the platform, at any time, for AI and machine learning model development, including generative AI systems. For EEA, Swiss, and UK users, this processing is conducted under a legitimate interests legal basis, which may require evaluation against GDPR balancing test standards given the breadth of content and the absence of a posting-date restriction.

Interpretive note: The adequacy of legitimate interests as the legal basis for AI model training on historical Pins may vary based on jurisdiction and regulatory interpretation, particularly under GDPR balancing test requirements.

Clause Stability Stable

0
Changes
5
Months Monitored
Jul 9, 2026
First Seen
Jul 9, 2026
Last Seen

Consumer impact (what this means for users)

Under this provision, content that users posted to Pinterest at any point in the platform's history may be used to train AI models, including generative AI systems, without requiring separate user consent outside EEA, Swiss, and UK contexts where a legitimate interests basis is relied upon. EEA, Swiss, and UK users can object to this processing using the objection form referenced in the policy.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Opt Out of Arbitration
    EEA, Swiss, and UK users can object to processing of their data for AI model training by submitting an objection through the form linked in the policy's 'Right to object or restrict processing' section. Navigate to your account's Privacy and Data Settings or use the DPO contact form to submit a formal objection.

Cross-platform context

See how other platforms handle AI Model Training on User Pins and similar clauses.

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▸ View Original Clause Language DOCUMENT RECORD
"
Improve the products and services of our family of companies and offer new features. For example, using information to train, develop and improve our technology such as our machine learning models, regardless of when Pins were posted. This includes, for example, Pinterest's body type technology, which is trained on images in Pins posted to our Services. Pinterest also has features that are supported by generative artificial intelligence technology.

Excerpt from Pinterest's Privacy Policy

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

REGULATORY LANDSCAPE: This provision implicates GDPR Article 6(1)(f) as the stated legal basis for EEA, Swiss, and UK users, and engages the EU AI Act's requirements for training data transparency and documentation for high-risk or …

Insight

Unlock the full institutional analysis

Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.

Applicable agencies

  • Federal Trade Commission (ftc)
    Oversees unfair or deceptive business practices and can investigate companies that mislead consumers about data collection, sharing, or use.
    Who can file: Anyone affected by the company's practices (US or international)
    What you need: Your account details, a timeline of relevant events, and a description of the specific issue
    What to expect: Complaints inform FTC enforcement priorities and investigations but do not result in individual resolution or compensation
    File a complaint →

Provision details

Document information
Document
Pinterest Privacy Policy
Entity
Pinterest
Document last updated
May 5, 2026
Tracking information
First tracked
April 27, 2026
Last verified
July 9, 2026
Record ID
CA-P-015803
Document ID
CA-D-00098
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
803a5ec94b0965d7afd6203d1d06be6798ce7e4d39a982274a9e40ccd76567ad
Analysis generated
April 27, 2026 12:16 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Pinterest
Document: Pinterest Privacy Policy
Record ID: CA-P-015803
Captured: 2026-04-27 12:16:26 UTC
SHA-256: 803a5ec94b0965d7…
URL: https://conductatlas.com/platform/pinterest/pinterest-privacy-policy/provision/CA-P-015803/ai-model-training-on-user-pins/
Accessed: Sept. 8, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does Pinterest's AI Model Training on User Pins clause do?

This provision asserts that Pinterest may use any Pins posted to the platform, at any time, for AI and machine learning model development, including generative AI systems. For EEA, Swiss, and UK users, this processing is conducted under a legitimate interests legal basis, which may require evaluation against GDPR balancing test standards given the breadth of content and the absence …

How does this clause affect you?

Under this provision, content that users posted to Pinterest at any point in the platform's history may be used to train AI models, including generative AI systems, without requiring separate user consent outside EEA, Swiss, and UK contexts where a legitimate interests basis is relied upon. EEA, Swiss, and UK users can object to this processing using the objection form …

Is ConductAtlas affiliated with Pinterest?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Pinterest.