AI app privacy policy: preparation guide
A preparation guide for AI app privacy policies covering prompts, uploads, outputs, providers, retention, and training assumptions.
Short answer
A privacy policy for an AI app should map user inputs, generated outputs, account data, uploads, model providers, retention assumptions, training choices, sensitive-data boundaries, analytics, support, deletion routes, and vendor roles. The draft should explain the product workflow without promising decisions the business has not actually made. paulkrieger prepares AI app privacy wording from prompts, file-handling notes, provider settings, user controls, support workflows, analytics tools, and existing product statements, then flags missing training, retention, deletion, or specialist-review assumptions before the client publishes. This keeps AI-specific boundaries visible and reviewable.
Map prompts, uploads, and outputs
AI apps often handle prompts, uploaded files, generated outputs, chat history, account data, usage logs, feedback, and support messages. Those flows should be mapped before privacy wording is prepared.
Separate model providers from product workflow
A model provider, hosting provider, analytics tool, and support tool may each handle different data for different reasons. The privacy policy should not flatten those roles into one vague vendor sentence.
Flag training and retention assumptions
paulkrieger can organize the stated assumptions around model training, retention, deletion, sensitive data, user controls, and provider handling. Unresolved or regulated questions should be flagged for specialist review.
Questions this guide answers.
What should an AI app privacy policy include?+
An AI app privacy policy should cover prompts, uploads, generated outputs, account data, model providers, retention assumptions, training choices, sensitive-data boundaries, analytics, support, deletion routes, and vendor roles.
What should an AI app prepare before drafting privacy wording?+
Prepare product flows, data categories, model provider details, upload and output handling, retention settings, training assumptions, user controls, support workflows, analytics tools, and existing customer-facing statements.
Can paulkrieger decide AI training or retention policy?+
No. paulkrieger can prepare wording from the business decisions and tool settings you provide, and it can flag missing assumptions. The business reviews and approves the final wording itself.
Price and promise
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- Up to 5 revisions per order goal, no extra cost
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