Intuit uses your financial and tax data to improve and develop its products, including AI-driven features, and may use anonymized versions of your data for any purpose without restriction.
This analysis describes what Intuit'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
Using sensitive tax and financial records to train AI models or improve algorithmic products raises significant questions about the scope of consent users gave when filing taxes or managing finances, and the claim that de-identified data 'cannot reasonably be used to identify you' may not hold for highly specific financial profiles.
Intuit's updated privacy statement now explicitly discloses that it shares limited personal information, such as IP addresses and device identifiers, with advertising partners to deliver targeted ads…
Your detailed tax returns and financial transaction history may be used by Intuit to train AI models and improve its products, and once de-identified, Intuit treats this derived data as available for any use — including potentially selling insights or models trained on your financial behavior.
How other platforms handle this
We use your personal information to personalize your experience with our products and services, improve and develop new features and products, conduct research and analytics, and to send you communications about products and services that may interest you.
Perplexity may collect and use aggregated and de-identified data derived from Customer's and Authorized Users' use of the Service for purposes of improving, developing, and enhancing the Service and Perplexity's AI models, provided that such data does not identify Customer or any individual user.
We may de-identify, anonymize, or aggregate information we collect so the information cannot reasonably identify you or your device, or we may collect information that is already in de-identified form. For example, we may disclose performance benchmark data and other aggregated, anonymized, or de-id...
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"We use your personal information to improve our products and services, to develop new products and services, to conduct research, and to improve the overall experience on our platform. We may use aggregated or de-identified information, which cannot reasonably be used to identify you, for any purpose.— Excerpt from Intuit's Intuit Privacy Statement
REGULATORY FRAMEWORK: This provision engages GDPR Art. 5(1)(b) purpose limitation principle, which restricts using personal data for purposes incompatible with original collection. CCPA/CPRA does not restrict use of truly de-identified data but imposes strict technical and contractual requirements for de-identification under Cal. Civ. Code §1798.140(m). The EU AI Act (Regulation 2024/1689, applicable from 2025-2026) imposes transparency and documentation requirements for AI systems using personal data, particularly high-risk AI in financial services contexts. FTC guidance on AI and data use (2023) warns against using personal data to train models without adequate consent disclosure.
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Using sensitive tax and financial records to train AI models or improve algorithmic products raises significant questions about the scope of consent users gave when filing taxes or managing finances, and the claim that de-identified data 'cannot reasonably be used to identify you' may not hold for highly specific financial profiles.
Your detailed tax returns and financial transaction history may be used by Intuit to train AI models and improve its products, and once de-identified, Intuit treats this derived data as available for any use — including potentially selling insights or models trained on your financial behavior.
ConductAtlas has identified this type of provision across 2 platforms. See the full comparison.
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