X states that personal data you provide or generate through platform use, including your posts, interactions, and uploaded content, may be used to train X's AI and machine learning 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
This provision authorizes X to use broad categories of personal data, including content you create and how you interact with the platform, to develop and improve AI systems, which is a use that may extend beyond what users typically anticipate from a social media service.
Interpretive note: The policy does not specify whether a separate opt-out mechanism exists for AI training use specifically, and it is unclear from the document text alone whether existing data controls fully address this processing purpose.
Under this provision, posts you write, images you share, and interactions you generate on X may be used to train AI models operated by X. The policy does not describe a standalone opt-out mechanism specific to AI training use within this provision.
How other platforms handle this
We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...
At Ledger, earning and maintaining our users' trust is a top priority. That's why we are deeply committed not only to protecting your privacy and securing your personal data, but also to being fully transparent about how we handle it.
If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...
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"We may use the information we collect to train our machine learning or artificial intelligence models. For example, information you share with us, or content you create or interact with on our services, may be used to improve our ability to understand natural language, to improve our ability to understand content in images, or to improve the relevance of content and features we surface to you on our services.— Excerpt from X's X Privacy Policy
REGULATORY LANDSCAPE: This provision engages the EU GDPR's purpose limitation principle and lawful basis requirements, particularly Article 5(1)(b) and Article 6, as use of personal data to train AI models may require a separate or compatible lawful basis from the original collection purpose. The EU AI Act introduces additional obligations for providers of general-purpose AI models, including transparency and data governance requirements. The California Privacy Rights Act addresses the use of sensitive personal information and automated decision-making, which may intersect with AI training use cases. GOVERNANCE EXPOSURE: High. The authorization to use personal data for AI training is broad and not clearly limited to anonymized or aggregated data; it references content users create and interactions they generate, which constitutes personal data under GDPR and CCPA definitions. The absence of a clearly described opt-out mechanism specific to this use within the document creates a potential gap in consent and rights-management obligations under multiple frameworks. JURISDICTION FLAGS: EU and EEA users present the highest exposure given GDPR's strict purpose limitation and lawful basis requirements. UK users face similar exposure under UK GDPR. California residents may invoke CPRA rights to limit use of personal information for certain automated processing. Illinois and other states with emerging AI or biometric privacy laws may create additional exposure if uploaded images or voice data are involved. CONTRACT AND VENDOR IMPLICATIONS: Organizations that integrate X's API or embed X functionality in their products should evaluate whether downstream AI training use of data flowing through their integrations creates independent compliance obligations. B2B contracts that reference X's data handling may need to be reviewed for consistency with this provision. COMPLIANCE CONSIDERATIONS: Compliance teams should evaluate whether X's stated lawful basis for AI training use is documented and defensible under GDPR Article 6, and whether data subjects have been provided adequate transparency and, where required, opportunity to object under Article 21. Teams should also assess whether existing privacy impact assessments account for AI training as a secondary processing purpose.
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This provision authorizes X to use broad categories of personal data, including content you create and how you interact with the platform, to develop and improve AI systems, which is a use that may extend beyond what users typically anticipate from a social media service.
Under this provision, posts you write, images you share, and interactions you generate on X may be used to train AI models operated by X. The policy does not describe a standalone opt-out mechanism specific to AI training use within this provision.
ConductAtlas has identified this type of provision across 1 platforms. See the full comparison.
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