This analysis describes what Leonardo AI'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 establishes the operational scope of data usage for model development and improvement. The inclusion of an opt-out mechanism creates a dual framework: data usage occurs by default, with users able to modify this through affirmative account configuration.
Under this clause, user inputs and outputs are automatically authorized for use in AI model training and platform development unless the user modifies account settings to opt out. The provision applies to both inputs provided by the user and outputs generated by the platform in response to those inputs.
How other platforms handle this
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 ...
Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data. [...] Training Datasets. In some cases, we acc...
To improve the quality of our services, we analyse texts submitted for translation. We ensure that this analysis cannot be traced back to individual users by anonymising the data before analysis. DeepL Pro subscribers' texts are not used to train our machine translation systems.
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"We may use your Inputs and Outputs to develop, train, and improve our Platform and AI models. You may opt-out of this by adjusting your account settings.— Excerpt from Leonardo AI's Leonardo AI Terms of Service
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 the operational scope of data usage for model development and improvement. The inclusion of an opt-out mechanism creates a dual framework: data usage occurs by default, with users able to modify this through affirmative account configuration.
Under this clause, user inputs and outputs are automatically authorized for use in AI model training and platform development unless the user modifies account settings to opt out. The provision applies to both inputs provided by the user and outputs generated by the platform in response to those inputs.
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