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The provision establishes a default data usage framework for model training while preserving carve-outs for safety-critical and user-initiated use cases. This structure allows the entity to conduct ongoing model improvement while maintaining defined boundaries around safety review and explicitly reported content.
Users may limit model training use of their inputs and outputs through opt-out settings, but this opt-out does not apply to flagged safety reviews or materials the user explicitly reports. The mechanism requires affirmative action through account settings to restrict the default authorization for model training use.
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"We may use your Inputs and Outputs to train our models and improve our Services, unless you opt out through your account settings. Even if you opt-out, we will use Inputs and Outputs for model improvement when: (1) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms).— Excerpt from Anthropic's Anthropic Privacy Policy
ConductAtlas detected a major restructuring of Meta’s privacy policy that removed detailed consumer rights disclosures and relocated them to separate documents.
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The provision establishes a default data usage framework for model training while preserving carve-outs for safety-critical and user-initiated use cases. This structure allows the entity to conduct ongoing model improvement while maintaining defined boundaries around safety review and explicitly reported content.
Users may limit model training use of their inputs and outputs through opt-out settings, but this opt-out does not apply to flagged safety reviews or materials the user explicitly reports. The mechanism requires affirmative action through account settings to restrict the default authorization for model training use.
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