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The policy states that TikTok uses collected data including user content, messages, AI interactions, and metadata to train and improve machine learning models and algorithms, and that this includes scanning and analyzing user content and messages.
This analysis describes what TikTok'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 use of user-generated content, direct messages, and AI interaction data for machine learning training purposes, which extends the use of this data beyond service delivery into technology development. The inclusion of messages in the scope of ML training data is operationally notable.
⚠ User content, messages, and AI interaction data will be used for ML model training under the terms as written
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"To review, support, improve, and develop the Services, and train, test, and improve technology, such as machine learning models and algorithms, including by analyzing how people are using the Services; conducting research; soliciting feedback; monitoring your activity and usage across the devices you use to access the Services; and scanning, analyzing, and reviewing user content, messages, AI interactions, and associated metadata.Excerpt from TikTok's Privacy Policy
(1) REGULATORY LANDSCAPE: Use of user-generated content and messages for ML training engages CCPA purpose limitation principles and may implicate the California Privacy Rights Act's provisions on automated decision-making. State privacy laws in Colorado, Connecticut, and Virginia include provisions relevant to profiling and automated processing. The EU AI Act, while not directly applicable to US-only operations, may inform practices for users with cross-jurisdictional access. (2) GOVERNANCE EXPOSURE: Medium. The authorization to use messages for ML training raises data minimization considerations. The policy does not provide a separate consent mechanism or opt-out specifically for ML training use, relying on the general data rights request process. (3) JURISDICTION FLAGS: California, Colorado, Connecticut, and Virginia users have data access and deletion rights that extend to data used for ML training. Where ML training constitutes profiling under applicable state definitions, opt-out rights may apply. (4) CONTRACT AND VENDOR IMPLICATIONS: Businesses using TikTok for customer communication through in-app messaging or shopping chat features should assess whether their customer communications may be included in ML training data flows and whether their privacy disclosures to customers reflect this. (5) COMPLIANCE CONSIDERATIONS: Data mapping documentation should reflect ML training as a distinct processing purpose for user content, messages, and AI interactions. Legal teams should evaluate whether the current disclosure is sufficient under applicable state purpose limitation requirements or whether a separate disclosure or consent mechanism is warranted.
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This provision authorizes use of user-generated content, direct messages, and AI interaction data for machine learning training purposes, which extends the use of this data beyond service delivery into technology development. The inclusion of messages in the scope of ML training data is operationally notable.
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