The policy states that Writer may use collected information including user-submitted content to train or improve its AI and machine learning models as part of service operation and improvement.
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 authorizes use of user data for AI model training, which is operationally significant for enterprise customers concerned about proprietary content submitted to the platform potentially informing model improvements accessible to other users or the platform generally.
Interpretive note: The policy does not clarify whether enterprise customer accounts are subject to the same AI training data use or whether separate contractual terms exclude this use, creating uncertainty about the scope of this provision for enterprise deployments.
Introduces broad AI training language that directly contradicts the previous version's explicit prohibition on AI model training without customer permission.
View full change record →Under these terms, information submitted to Writer's platform may be used to train or improve the company's AI and machine learning models. Enterprise customers should evaluate whether their data processing agreement with Writer includes specific restrictions or opt-outs for AI training use of submitted content.
How other platforms handle this
We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...
At Ledger, earning and maintaining our users' trust is a top priority. That's why we are deeply committed not only to protecting your privacy and securing your personal data, but also to being fully transparent about how we handle it.
If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...
Monitoring
Writer has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"We may use the information we collect to provide, maintain, and improve our services, to develop new products and services, and to personalize your experience. This may include using your information to train or improve our artificial intelligence and machine learning models.— Excerpt from Writer's Writer Privacy Policy
(1) REGULATORY LANDSCAPE: AI training data use engages GDPR's purpose limitation and data minimization principles where EU personal data is involved, requiring a clear legal basis for training use distinct from the original collection purpose. The EU AI Act may impose additional transparency and documentation requirements for AI systems trained on personal data. FTC guidance on AI and data practices is relevant in the US context. (2) GOVERNANCE EXPOSURE: High. The use of enterprise customer-submitted content for AI model training is a material concern for organizations that may submit proprietary, confidential, or regulated data through the platform; the policy does not detail whether enterprise customers can opt out of this use or whether model training is excluded for enterprise deployments by contract. (3) JURISDICTION FLAGS: EU/EEA users have GDPR rights that may constrain use of personal data for AI training purposes beyond the original stated purpose; California users may have CPRA rights relevant to profiling and automated decision-making. Regulated industries (healthcare, financial services, legal) face heightened exposure if regulated data categories are submitted to the platform. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should specifically negotiate and document whether submitted content is used for AI model training, whether opt-outs are available, how training data is isolated from other customers' model improvements, and what data security standards apply to training data sets. (5) COMPLIANCE CONSIDERATIONS: Legal teams should review Writer's enterprise data processing agreement for explicit provisions addressing AI training use, confirm whether any sector-specific data restrictions (HIPAA, GLBA, attorney-client privilege) are addressed, and assess whether GDPR legitimate interest or consent is the stated basis for any training use involving EU personal data.
Full compliance analysis
Regulatory citations, enforcement risk, and due diligence action items.
Free: track 1 platform + weekly digest. Monitor: 25 platforms + same-day alerts. No credit card required.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
This provision authorizes use of user data for AI model training, which is operationally significant for enterprise customers concerned about proprietary content submitted to the platform potentially informing model improvements accessible to other users or the platform generally.
Under these terms, information submitted to Writer's platform may be used to train or improve the company's AI and machine learning models. Enterprise customers should evaluate whether their data processing agreement with Writer includes specific restrictions or opt-outs for AI training use of submitted content.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Writer.