The policy states that user-submitted queries and conversation content may be used to train and improve Perplexity's AI models, with an opt-out available through account settings.
This analysis describes what Perplexity AI'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 establishes that conversational input submitted by users during ordinary platform use may be incorporated into AI model training workflows. The opt-out mechanism's operational scope, accessibility, and technical implementation are material to compliance under GDPR and CCPA, particularly regarding whether opt-out requests are honored prospectively or also retroactively.
Interpretive note: The policy does not specify whether the opt-out applies retroactively to previously collected data or only to future collection, and the legal basis for this processing under GDPR is not explicitly stated.
Under this provision, search queries and conversation history submitted to Perplexity may be used to train its AI models unless the user opts out via account settings. The agreement states an opt-out is available, though the policy does not specify whether opting out affects data already collected or only future data.
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"We may use the information we collect, including your queries and conversations, to train, evaluate, and improve our AI models and services. You can opt out of having your conversations used to train our models by adjusting your settings.— Excerpt from Perplexity AI's Perplexity Privacy Policy
1) REGULATORY LANDSCAPE: This provision engages GDPR Article 6 (lawful basis for processing), Article 21 (right to object), and CCPA/CPRA provisions governing use of personal information beyond the primary transaction purpose. The EU AI Act may impose additional obligations on training data governance depending on product risk classification. Enforcement authorities include EU member state supervisory authorities, the UK ICO, and the California Privacy Protection Agency. 2) GOVERNANCE EXPOSURE: High. The use of conversational content for AI training is subject to increasing regulatory scrutiny. The lawful basis asserted for this processing is not explicitly identified in the excerpted text, and if legitimate interest is relied upon, a documented balancing test may be required under GDPR. The adequacy and visibility of the opt-out mechanism is a key compliance variable. 3) JURISDICTION FLAGS: EEA and UK users have the strongest regulatory protections, including the right to object to processing based on legitimate interests. California residents have CCPA rights regarding use of personal information for secondary purposes. The provision may require evaluation under other national laws (e.g., Brazil LGPD, Canada PIPEDA) depending on user geography. 4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise or B2B customers using Perplexity whose employees' queries are captured should assess whether this provision is consistent with their own data governance obligations, particularly if queries contain confidential or regulated information. Data processing agreements with Perplexity may need to address model training use limitations. 5) COMPLIANCE CONSIDERATIONS: Compliance teams should verify that the opt-out mechanism is technically implemented, user-accessible, and auditable. Data mapping should identify which conversation data flows into training pipelines and whether retention schedules apply. If legitimate interest is the asserted basis, a legitimate interest assessment should be documented for GDPR purposes.
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This provision establishes that conversational input submitted by users during ordinary platform use may be incorporated into AI model training workflows. The opt-out mechanism's operational scope, accessibility, and technical implementation are material to compliance under GDPR and CCPA, particularly regarding whether opt-out requests are honored prospectively or also retroactively.
Under this provision, search queries and conversation history submitted to Perplexity may be used to train its AI models unless the user opts out via account settings. The agreement states an opt-out is available, though the policy does not specify whether opting out affects data already collected or only future data.
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