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

Machine Learning and AI Model Training Using Collected Data

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Document Record

What it is

This provision states that X may use collected user information and publicly available information to train its own machine learning and AI models, limited to the purposes described elsewhere in the policy.

This analysis describes what X'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 clause discloses that user data collected through platform use, combined with publicly available information, may be used as training data for X's internal AI and machine learning systems. The scope is stated to be limited to purposes outlined in the policy, though the policy describes a broad range of purposes including service operation, personalization, safety, research, and advertising.

If You Do Nothing

The terms permit X to use collected user data and publicly available information for internal AI model training as described unless a broader opt-out for data use is exercised where available

Cross-platform context

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▸ View Original Clause Language DOCUMENT RECORD
"
We may use the information we collect and publicly available information to help train our machine learning or artificial intelligence models for the purposes outlined in this policy.

Excerpt from X's Privacy Policy

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

1) REGULATORY LANDSCAPE: This provision engages GDPR's purpose limitation and transparency requirements, which generally require that data processing for AI training be disclosed and based on a documented lawful basis.

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 →
  • State Attorney General
    State AGs in California, New York, Texas, and other states can investigate violations of state consumer protection and privacy laws, including CCPA (California), SHIELD Act (New York), and equivalents.
    Who can file: Residents of states with comprehensive privacy laws — primarily California, Virginia, Colorado, Connecticut, and Utah
    What you need: Evidence of the violation, explanation of how your state rights were affected, and your account or contact information with the company
    What to expect: Outcomes vary by state. May result in investigation, enforcement action, or requirement for the company to change practices. No direct individual compensation in most cases.

    Search "[your state] attorney general consumer complaint" to find your state's direct complaint form

Applicable regulations

CCPA/CPRA
California, USA
Connecticut Data Privacy Act Amendments
US-CT
CAN-SPAM
United States Federal
FTC Act Section 5
United States Federal
GDPR
European Union
Indiana Consumer Data Protection Act
US-IN
Kentucky Consumer Data Protection Act
US-KY
UK GDPR
United Kingdom
Universal Opt-Out Mechanism Expansion 2026
US
VPPA
United States Federal

Provision details

Document information
Document
X Privacy Policy
Entity
X
Document last updated
May 5, 2026
Tracking information
First tracked
July 16, 2026
Last verified
July 16, 2026
Record ID
CA-P-00030009
Document ID
CA-D-00030
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
96e2de581453db81d042d438707291805a0ff232974c94facff2345c03383b3e
Analysis generated
July 16, 2026 01:47 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: X
Document: X Privacy Policy
Record ID: CA-P-00030009
Captured: 2026-07-16 01:47:25 UTC
SHA-256: 96e2de581453db81…
URL: https://conductatlas.com/platform/x/x-privacy-policy/machine-learning-and-ai-model-training-using-collected-data/
Accessed: Sept. 8, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

Other risks in this policy

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Frequently Asked Questions

What does X's Machine Learning and AI Model Training Using Collected Data clause do?

This clause discloses that user data collected through platform use, combined with publicly available information, may be used as training data for X's internal AI and machine learning systems. The scope is stated to be limited to purposes outlined in the policy, though the policy describes a broad range of purposes including service operation, personalization, safety, research, and advertising.

Is ConductAtlas affiliated with X?

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