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The clause establishes the operational basis for incorporating user content into model training workflows while creating a mechanism for users to exercise control over specific uses. This distinction between primary service delivery and model training, coupled with opt-out provisions, structures how user content flows through the company's development processes.
Users operate under terms that authorize their content to be used for AI model training unless they affirmatively opt out through specified account settings. The provision establishes both the authorization for this use and the procedural pathway for users to restrict it.
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engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
We may use aggregated, de-identified data derived from your use of our services, including document metadata and usage patterns, to develop, train, and improve our artificial intelligence and machine learning models and product features.
After registration, you may create, upload or transmit files, documents, videos, images, data or information as part of your use of the Service (collectively, "User Content"). This includes any inputs you provide to our AI-powered support tools and outputs generated in response to your inputs. User ...
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"We collect the content you create, upload, or receive while using our Services ("User Content"). We use this information to provide our Services to you, including to offer personalized features. We may also use User Content to develop, train, and improve our AI models and related features, subject to your ability to opt out of certain uses as described in this Privacy Policy and in your account settings.— Excerpt from Grammarly's Grammarly 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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The clause establishes the operational basis for incorporating user content into model training workflows while creating a mechanism for users to exercise control over specific uses. This distinction between primary service delivery and model training, coupled with opt-out provisions, structures how user content flows through the company's development processes.
Users operate under terms that authorize their content to be used for AI model training unless they affirmatively opt out through specified account settings. The provision establishes both the authorization for this use and the procedural pathway for users to restrict it.
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