OpenAI API and Google Play Data safety: review user content

Start with the API boundary

Map the request from the Android client to your backend and from your backend to the OpenAI API. Note whether the client calls your server, whether the server adds system instructions or account fields, and whether the response returns directly to the user or enters a database, support queue, analytics stream, or notification. The API provider's capabilities do not describe your entire product data flow.

Inventory the content types your feature accepts. A chat box may contain free-form messages; a journal feature may contain intimate writing; a file assistant may receive documents; an image workflow may receive pictures. If your interface allows a type of content, inspect the validation and server code to see whether it is actually transmitted. Do not infer from the feature name alone.

In the App Passport, open the OpenAI API service and review the suggested App Facts. The profile treats user data sent to the provider as possible and configuration-dependent because your prompts, files, settings, and product design matter. An App Fact is a review suggestion, not a final declaration. Confirm it with code paths, request samples, and storage records.

Review user-generated content

Google Play's categories need to reflect the information your app handles, not just the model call. User-generated content can include messages, documents, images, audio, or model responses created from a user's input. Determine whether the app sends that material to OpenAI, stores it locally, stores it on your server, or displays it only transiently.

Check request builders and serialization code for fields that are not visible in the main prompt. Account IDs, conversation IDs, language settings, filenames, device context, and moderation flags may travel with a request. Inspect retries and background jobs too. A failed request that is queued for retry can create a second retention path even when the visible feature appears ephemeral.

Review the response path with equal care. If you save an assistant response, it can become user content in your database. If you send it to analytics, search indexing, email, or support tooling, those systems become part of the review. Keep a small, redacted production-like example so the developer can confirm the categories without exposing a real user's private text.

Separate provider processing from your retention

Read the API product documentation and account settings that apply to your organization, then separately document your own retention. Do not copy consumer ChatGPT language into an API integration. Product tier, account configuration, abuse monitoring, zero-retention arrangements, and operational controls can differ, and your application may retain content even when a provider setting changes.

Check application logs, traces, error reporting, message queues, backups, database replicas, and support exports. Prompt text can leak into logs through request bodies, exception messages, or debugging statements. Review model responses as well. If your team uses them to improve prompts or investigate incidents, record that internal use in your data-flow notes.

If you claim that a feature deletes content, test the request, database row, backups, provider call, and user-facing history. If the product does not offer deletion for a particular content path, do not imply that it does. Have the developer confirm the final Google Play selections and the language in your privacy policy.

Check purpose, sharing, and optionality

For each content path, identify the purpose: app functionality, personalization, diagnostics, moderation, or another documented use. A model call may support the main feature while a separate analytics event supports measurement. Keep those purposes distinct in your review so you do not overstate or understate how the data is used.

Review sharing carefully. Sending user content to OpenAI is a transfer to a service provider, but the final store treatment depends on the applicable definitions and your product behavior. The catalog can connect the service profile to Google taxonomy rows and policy sources; it cannot decide how your contract, configuration, or app flow should be represented. Confirm the generated row against the actual transfer and the developer's final interpretation.

Ask whether the feature is optional and what happens when a user declines. A user may browse an app without using an AI feature, yet prompts are necessary once the user chooses that feature. Document that boundary. Do not mark all user content optional just because the AI feature itself is optional.

Avoid common AI disclosure mistakes

• Do not assume that using the OpenAI API means every user sends sensitive content.
• Do not assume that a prompt is ephemeral because the interface does not show a history screen.
• Do not forget files, images, system-added fields, retries, logs, backups, or model responses.
• Do not copy consumer ChatGPT terms into an API product review.
• Do not turn a Possible App Fact into a final answer without confirming the released behavior.

Safe Mode lets you examine the catalog suggestion while your team gathers request samples and retention evidence. Once the developer confirms the facts, record the evidence in the App Passport and run Consistency Check. Repeat after changing prompts, accepted file types, provider settings, logging, or account controls.

Where Declora fits

Declora is not a law firm and cannot provide legal advice or guarantee Google Play approval. It gives you a structured review of the OpenAI API profile, App Facts, store taxonomy, and registered sources. You remain responsible for the production data flow, the privacy policy, user controls, final store answers, and any decision about sensitive content.

Keep a release record that names the accepted input types, outbound fields, account identifiers, response storage, logs, retention period, deletion path, and third-party destinations. Revisit it when you add image or file support, change the model endpoint, enable a new account setting, or introduce an AI-powered workflow in another screen.

Do not try to solve uncertainty by writing a broader answer than your evidence supports. A precise “needs confirmation” item is more useful during review than an invented certainty. Use the App Passport to make the open question visible, then close it with a developer-confirmed fact and a repeatable test.

FAQ

Does sending a prompt to the OpenAI API automatically mean the app collects all user-generated content?

No. You need to identify the content types your app accepts and actually transmits, including prompts, files, images, audio, and model responses. Inspect the client, backend, serialization, logs, and storage paths before confirming the relevant App Fact.

Is OpenAI API data the same as consumer ChatGPT data?

You should not assume that. Review the API product documentation and the settings for your organization, then document your own application retention separately. Product terms and controls can differ, and your app may keep content in logs, databases, backups, or support tools.

Should an optional AI feature make its data optional in Google Play Data safety?

Review the feature boundary. A user may skip the AI feature, but content can be necessary once the user chooses it. Confirm how the app works without the feature and what happens after the user submits content; do not infer optionality from the feature label alone.

Can Declora decide the final Google Play answer for an OpenAI integration?

No. Declora suggests App Facts and maps confirmed information to store guidance. Use Safe Mode while investigating, then have the developer confirm the production behavior in the App Passport and run Consistency Check. Declora is not a law firm and cannot provide legal advice or guarantee store approval.