The policy authorizes Stash to use personal information collected from users to train large language models, disclosed in a single sentence in Section 4 without specifying which data categories are used, retention periods for training purposes, or available opt-out mechanisms.
This analysis describes what Stash'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 a data use case beyond core service delivery without elaborating on scope, applicable data categories, or opt-out availability, which may require evaluation under CCPA business purpose disclosure requirements and emerging state AI and automated decision-making regulations.
The updated policy explicitly discloses collection of geolocation data, driver's license numbers, audio and video recordings of customer service calls, and inferences drawn from your personal data to create behavioral profiles reflecting your preferences, characteristics, and psychological trends. The policy also expands the definition of "Stash" to include third parties acting on the company's behalf, meaning your data may be shared with external service providers. The policy now applies to all users of Stash services, not just registered customers. You can review your account settings or contact Stash at the provided email or phone number to access, review, or modify personal information you have provided.
View change record →⚠ Personal information will be used for LLM training as stated in the policy unless a privacy rights request for deletion or restriction is submitted
Cross-platform context
See how other platforms handle LLM Training Use of Personal Information and similar clauses.
Compare across platforms →"We may also use Personal Information for the purpose of training large language models.Excerpt from Stash's Privacy Policy
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This provision authorizes a data use case beyond core service delivery without elaborating on scope, applicable data categories, or opt-out availability, which may require evaluation under CCPA business purpose disclosure requirements and emerging state AI and automated decision-making regulations.
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