Anthropic may use your conversations with Claude to train its AI models by default. You can turn this off in your account settings, but even if you do, your conversations can still be used for training if you rate a response (thumbs up or down) or if Anthropic's systems flag your content for safety review.
This analysis describes what Anthropic'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
The opt-out mechanism does not fully prevent your conversations from being used to train AI models, because two significant carve-outs apply regardless of your settings choice.
If you give feedback on any Claude response or if your content triggers a safety review, that conversation may be used to train Anthropic's AI models even if you have opted out of training in your account settings. Users who regularly rate outputs should be aware that doing so constitutes a training data consent bypass under these terms.
How other platforms handle this
We may leverage OpenAI models independent of user selection for processing other tasks (e.g. for summarization). We may leverage Anthropic models independent of user selection for processing other tasks (e.g. for summarization). We may leverage these models independent of user selection for processi...
Writer does not use Customer Data to train its AI models without explicit customer permission. Customer Data means the data, content, and information that customers and their end users submit to or through the Services.
We may use the content you provide to us, including prompts and generated images, to train and improve our AI models and services.
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"We may use Materials to provide, maintain, and improve the Services and to develop other products and services, including training our models, unless you opt out of training through your account settings. Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to us regarding any Materials, or (2) your Materials are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance our safety research.— Excerpt from Anthropic's Anthropic API Terms
REGULATORY LANDSCAPE: This provision engages GDPR Articles 6 and 9 regarding lawful basis for processing personal data for AI training purposes, and Article 22 regarding automated processing. The UK GDPR imposes equivalent obligations. The CCPA grants California residents rights to know about and limit use of personal information, which would cover conversation data used for training. The FTC Act's prohibition on unfair or deceptive practices is relevant to whether the carve-outs are sufficiently disclosed to constitute informed consent. Applicable law in the EU may require affirmative opt-in consent for training use of personal data, creating a potential tension with this provision's default opt-in structure. GOVERNANCE EXPOSURE: High. The feedback-linked carve-out is operationally significant because users who interact with rating features may not understand they are triggering a training data permission. The safety-review carve-out is broad and self-defined, with no user notification mechanism described. Both carve-outs require evaluation under GDPR lawful basis frameworks if deployed to EU users. JURISDICTION FLAGS: EU and UK users face the highest exposure given GDPR and UK GDPR consent requirements for AI training use of personal data. California residents retain CCPA rights to know and limit. Illinois and other US states with biometric or sensitive data laws may create additional exposure depending on content types submitted. Jurisdictions requiring opt-in consent for AI training data use may find the default opt-in structure requires modification. CONTRACT AND VENDOR IMPLICATIONS: Enterprises deploying Claude.ai for employee use should assess whether employee conversation data used for training creates employment law obligations or conflicts with internal data governance policies. Vendor contracts that incorporate Claude.ai outputs should account for the possibility that employee inputs contributed to model training regardless of organizational opt-out preferences, as the safety review carve-out operates at Anthropic's discretion. COMPLIANCE CONSIDERATIONS: Legal and privacy teams should map the feedback interaction mechanism against consent records to determine whether rating interactions constitute disclosed and lawful training consent. Data mapping exercises should distinguish between opted-out conversation data and feedback or safety-flagged data. For EU deployments, a Data Protection Impact Assessment may be warranted given the automated processing of personal data for model training. Privacy notices should be reviewed to confirm the carve-outs are adequately disclosed to users.
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The opt-out mechanism does not fully prevent your conversations from being used to train AI models, because two significant carve-outs apply regardless of your settings choice.
If you give feedback on any Claude response or if your content triggers a safety review, that conversation may be used to train Anthropic's AI models even if you have opted out of training in your account settings. Users who regularly rate outputs should be aware that doing so constitutes a training data consent bypass under these terms.
ConductAtlas has identified this type of provision across 1 platforms. See the full comparison.
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