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 commitment establishes a default operational practice regarding model training data sources. It creates a procedural requirement that Writer must obtain affirmative consent before using submitted content for AI model development, which affects the scope of permitted data uses under the service.
Users operating under this provision do not have their submitted content used for AI model training unless they provide explicit permission to Writer. The terms establish this as the default practice, meaning content remains outside the AI training data pipeline unless affirmative authorization is given.
How other platforms handle this
Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
Fairness: AI systems should treat all people fairly. AI can help manage information and make decisions, but it can also reinforce existing societal biases or create new ones. We're committed to fairness in AI system design.
Training Datasets. In some cases, we access datasets provided by third parties for our model training purposes. These datasets may include personal data (even if such third parties and Mistral AI use good practices to filter out such personal data), proprietary data, or public data. [...] Data publi...
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"Writer does not use Customer Content to train its AI models without explicit permission. Customer Content means the data, text, files, and other content that you or your organization submit to the Services.— Excerpt from Writer's Writer Privacy Policy
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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This commitment establishes a default operational practice regarding model training data sources. It creates a procedural requirement that Writer must obtain affirmative consent before using submitted content for AI model development, which affects the scope of permitted data uses under the service.
Users operating under this provision do not have their submitted content used for AI model training unless they provide explicit permission to Writer. The terms establish this as the default practice, meaning content remains outside the AI training data pipeline unless affirmative authorization is given.
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