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The policy states that Writer will not use data provided by users during service use, including AI prompt inputs and generated outputs, to train its models under any circumstances.
This analysis describes what Writer'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 directly addresses a primary data use concern for AI platform users by establishing an explicit contractual prohibition on using user-provided content for model training. The scope covers all inputs and outputs provided during service use in the controller context governed by this policy.
Under this clause, content submitted as AI prompts and AI-generated responses will not be used to train Writer's models, as the policy states this prohibition applies without exception to all data provided during service use.
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"Engage in analysis and research about use of the Services, improve the Services (but in no event will we use any data you provide to us when you access or use our Services to train our models, including any inputs or outputs), and develop new servicesExcerpt from Writer's Privacy Policy
REGULATORY LANDSCAPE: This provision engages GDPR principles of purpose limitation and data minimization, which require that personal data collected for one purpose not be repurposed without a compatible legal basis. It also interacts with FTC Act expectations regarding unfair or deceptive practices, as representations about AI data use are an active area of FTC scrutiny. The explicit contractual commitment reduces the risk of regulatory challenge on purpose limitation grounds. GOVERNANCE EXPOSURE: Low. The provision creates a clear contractual commitment that reduces compliance exposure related to AI training data practices. However, compliance teams should confirm that technical controls operationally enforce this prohibition, as the policy constitutes an assertion rather than a verified technical guarantee. JURISDICTION FLAGS: This provision is relevant globally but has heightened significance for EEA and UK users under GDPR, where purpose limitation is a legally enforceable obligation. California residents benefit from this commitment in conjunction with CCPA rights. No jurisdiction is identified where this provision creates heightened exposure. CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers relying on the Platform Services Agreement rather than this policy should confirm that equivalent or stronger model training prohibitions appear in their governing agreements, as this policy explicitly states it does not apply to processor-mode processing under enterprise contracts. COMPLIANCE CONSIDERATIONS: Compliance teams should evaluate whether technical and organizational measures are documented to support this commitment, including data flow mapping that distinguishes user inputs from training datasets. Audit rights under enterprise agreements should be assessed to determine whether this commitment can be independently verified.
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This provision directly addresses a primary data use concern for AI platform users by establishing an explicit contractual prohibition on using user-provided content for model training. The scope covers all inputs and outputs provided during service use in the controller context governed by this policy.
Under this clause, content submitted as AI prompts and AI-generated responses will not be used to train Writer's models, as the policy states this prohibition applies without exception to all data provided during service use.
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