Get the weekly research letter
Companies change their terms quietly. We read every version and catch what actually changed. One email a week on the changes that matter and what they mean. No account.
This provision authorizes X to use data collected from users, as well as publicly available information, to train its own machine learning and artificial intelligence models for the purposes described 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
Under this clause, information collected from users during platform use, including posts, interactions, and behavioral data, may be used to train X's AI and machine learning models, subject to the purposes described elsewhere in the policy.
How other platforms handle this
How Adobe analyzes your content using techniques such as machine learning in order to improve our Services and Software, and how to opt out of this.
We generate new information from other data we collect to derive likely preferences or other characteristics. For instance, we infer your general geographic location based on your IP address.
We use your personal information to improve and enhance our Services, including through the use of various technologies (e.g., business intelligence tools, machine learning systems, and artificial intelligence), personalize content and features to your interests and goals...
Monitoring
X has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"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
(1) REGULATORY LANDSCAPE: This provision engages GDPR's requirements for lawful basis (Article 6) and purpose limitation (Article 5(1)(b)), as enforced by the Irish Data Protection Commission for EU/EEA users. The EU AI Act may also apply depending on the classification of AI systems trained using this data. For California residents, the CCPA and CPRA govern the use of personal information for new purposes and may require updated disclosures or opt-out rights. (2) GOVERNANCE EXPOSURE: Medium. The provision's reliance on cross-reference to 'the purposes outlined in this policy' rather than specific enumeration creates some ambiguity about which AI use cases are authorized. However, the provision is explicit that AI training is a permitted use, which satisfies basic transparency obligations under most privacy frameworks. (3) JURISDICTION FLAGS: EU/EEA users face heightened exposure if AI model training constitutes a new or incompatible processing purpose relative to the lawful basis under which data was originally collected. California users may have CPRA-based rights to limit use of personal information for AI training if the use constitutes sensitive data processing. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise users or developers whose platform activity generates data should assess whether organizational data may be incorporated into X's AI training datasets. The policy does not carve out professional or API-generated data from this provision. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should evaluate whether existing user consent mechanisms or legitimate interest assessments cover AI model training as a stated purpose. Data protection impact assessments (DPIAs) may be warranted for EU/EEA processing contexts where AI training represents a high-risk use of personal data.
Full institutional analysis
Regulatory citations, enforcement risk, and due diligence action items.
Monitor: same-day alerts on the platforms you choose. Analyst: full institutional analysis.
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
This provision authorizes X to use data collected from users, as well as publicly available information, to train its own machine learning and artificial intelligence models for the purposes described in the policy.
Under this clause, information collected from users during platform use, including posts, interactions, and behavioral data, may be used to train X's AI and machine learning models, subject to the purposes described elsewhere in the policy.
ConductAtlas has identified this type of provision across 222 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by X.