This analysis describes what Perplexity 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 authorization establishes the operational basis for incorporating user search activity and interaction patterns into the company's model development pipeline. The provision defines the scope of permitted data uses beyond real-time query processing to include systematic model training and performance iteration.
Users operating under these terms authorize Perplexity AI to repurpose their search queries and interaction data as training material for model improvement. The provision applies to all information collected through the service, including search behavior and content engagement patterns.
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Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
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 ...
Training Datasets. In some cases, we access datasets provided by third parties for our model training purposes. These datasets may include personal data (even if such third parties and Mistral AI use good practices to filter out such personal data), proprietary data, or public data. [...] Data publi...
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"We may use the information we collect, including the queries you submit and the content you interact with, to train, improve, and develop our artificial intelligence models and services. This includes using your search queries, feedback, and interactions to refine our models' performance and accuracy.— Excerpt from Perplexity AI's Perplexity 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 authorization establishes the operational basis for incorporating user search activity and interaction patterns into the company's model development pipeline. The provision defines the scope of permitted data uses beyond real-time query processing to include systematic model training and performance iteration.
Users operating under these terms authorize Perplexity AI to repurpose their search queries and interaction data as training material for model improvement. The provision applies to all information collected through the service, including search behavior and content engagement patterns.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Perplexity AI.