Privacy guide
AI product privacy disclosures
AI transparency starts with the user content and metadata crossing each system boundary, plus the decisions made about retention and secondary use.
Trace prompts and outputs
State which content is sent, whether files or conversation history are included, which provider receives it, and how long operator and provider copies persist.
State training choices
Distinguish inference, abuse monitoring, evaluation, feedback, fine-tuning, and general model training using actual contract and configuration facts.
Provide controls for high impact
Significant automated decisions may require explanation, human intervention, contest, consent, or opt-out mechanisms depending on law and context.
Important: Generated wording reflects supplied facts and is not legal advice or a guarantee of compliance.