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

AI and Machine Learning Model Training Using User Data

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Document Record

What it is

This provision states that X may use information it collects from users, as well as publicly available information, to train its own machine learning and artificial intelligence models.

ⓘ

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 establishes a broad authorization for using collected user data and public information to develop X's AI systems. The policy does not specify a dedicated opt-out mechanism for this use category, distinguishing it from the third-party collaborator data sharing provision which references an opt-out setting.

If You Do Nothing

⚠ The terms will apply as written, meaning collected user data and public information may be used to train X's AI models without a specific opt-out mechanism identified in the policy.

Cross-platform context

See how other platforms handle AI and Machine Learning Model Training Using User Data and similar clauses.

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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)

REGULATORY LANDSCAPE: This provision implicates GDPR lawful basis and purpose limitation principles for EU/EEA users, as AI model training using personal data may require a clearly identified lawful basis and may not be straightforwardly covered …

Insight

Unlock the full institutional analysis

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

Applicable agencies

  • FTC
    The FTC has authority over unfair or deceptive data practices, including disclosures related to AI training data use for US users.
    File a complaint →

Provision details

Document information
Document
X Privacy Policy
Entity
X
Document last updated
May 5, 2026
Tracking information
First tracked
Sept. 22, 2026
Last verified
Sept. 22, 2026
Record ID
CA-P-00030001
Document ID
CA-D-00030
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
edf76eaa067519848cb54fba209bc01ecbfa7d3226be11cd5b9ab14e9555769e
Analysis generated
September 22, 2026 01:55 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: X
Document: X Privacy Policy
Record ID: CA-P-00030001
Captured: 2026-09-22 01:55:42 UTC
SHA-256: edf76eaa06751984…
URL: https://conductatlas.com/platform/x/x-privacy-policy/ai-and-machine-learning-model-training-using-user-data/
Accessed: Sept. 26, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

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Frequently Asked Questions

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

This clause establishes a broad authorization for using collected user data and public information to develop X's AI systems. The policy does not specify a dedicated opt-out mechanism for this use category, distinguishing it from the third-party collaborator data sharing provision which references an opt-out setting.

Is ConductAtlas affiliated with X?

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