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This provision establishes a data processing practice that distinguishes free-tier users from paid subscribers, creating operational conditions under which free-tier input data is designated for internal review and model training activities rather than deleted after translation.
Under this clause, users of the free DeepL translator operate under terms that authorize DeepL personnel to access and review their input text as part of standard service operations. Paid subscription users are not subject to this input review authorization.
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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 ...
Accountability: People should be accountable for AI systems. As AI systems increase in autonomy and capability, accountability becomes more critical. We believe people should be accountable for the AI they create and deploy, not just the systems themselves.
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...
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"In order to improve our services and to train and improve our AI-based systems and machine learning models, texts that are entered in the input field of the translator by users who have not subscribed to any DeepL plan or who use the free version of DeepL may be reviewed by our employees or contractors.— Excerpt from DeepL's DeepL 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 provision establishes a data processing practice that distinguishes free-tier users from paid subscribers, creating operational conditions under which free-tier input data is designated for internal review and model training activities rather than deleted after translation.
Under this clause, users of the free DeepL translator operate under terms that authorize DeepL personnel to access and review their input text as part of standard service operations. Paid subscription users are not subject to this input review authorization.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by DeepL.