Does Deleting An AI Chat Delete A Submitted Feedback Copy?
Not necessarily. A submitted AI feedback record can follow a different review, retention, and deletion path from the visible chat you later delete.
Not necessarily. Deleting an AI chat can remove the conversation from your history without retracting a feedback copy you already submitted. Google explicitly documents this separation for reviewed Gemini feedback. OpenAI documents chat deletion and feedback use separately, without promising that deleting a chat withdraws submitted feedback. The safe rule is to treat feedback as a separate disclosure and check its own deletion controls.
Who This Guide Is For
This guide is for people who:
- use thumbs-up, thumbs-down, report, or written-feedback controls in AI chat
- delete conversations after noticing sensitive text, files, or connected-app content
- assume removing a visible chat also recalls every copy created from it
- manage client, employee, legal, financial, health, research, or product information
- administer a Microsoft 365 or other managed AI workspace
- want a privacy-focused AI workflow without relying on a single delete button
Feedback can help providers correct inaccurate, unsafe, or broken behavior. The privacy issue is not whether feedback is useful. It is whether submitting feedback can create a second record with a different purpose, reviewer group, retention period, and deletion control.
The Short Answer: Chat Deletion And Feedback Deletion Can Be Separate
An AI conversation can produce several records:
- Visible chat record: the thread shown in your account or app.
- Submitted feedback record: your rating, comments, and included context.
- Review copy: data routed to a quality, safety, support, or engineering workflow.
- Improvement data: content selected for evaluation, product improvement, or model training under the applicable policy.
- Security or legal record: information retained under a separate obligation or exception.
Deleting the first record does not prove that the other four were deleted. The provider must either link those records to the same deletion action or offer a separate way to remove them.
| Action | What it usually targets | What it may not target |
|---|---|---|
| Delete a chat | The conversation in visible history and its ordinary retention path | A separately submitted or already reviewed feedback copy |
| Turn off training or activity | Routine future use under that setting | Feedback you voluntarily submit later |
| Remove an attachment | The original file in a file or chat store | Text, summaries, or excerpts already included in feedback |
| Delete submitted feedback | The provider's feedback record, when this control exists | Work already performed before deletion or legally required records |
| Delete an account | Account-linked data under the provider's deletion policy | Data already de-identified, disassociated, or retained under an exception |
The practical question is not simply, “Did I delete the chat?” It is, “What copies did my feedback action create, and which deletion control governs each one?”
What Current Provider Documentation Says
Provider interfaces and policies change. These examples were checked against official documentation on July 23, 2026.
Google Gemini: Reviewed Feedback Can Survive Activity Deletion
Google gives the clearest current answer. The Gemini Apps Privacy Hub says reviewed feedback, associated conversations, and related data can be retained for up to three years after being disconnected from the user's Google Account.
Google also states that if you delete Gemini Apps activity, past chats already reviewed by service providers are not deleted because they are no longer connected to the account. That means deleting the visible conversation or activity is not a reliable way to recall an already reviewed feedback copy.
The payload can be broader than the rating itself. Google's Gemini feedback instructions say the associated conversation is added to feedback. Included content can also cover uploaded files and images or personal content retrieved through Connected Apps, depending on the form and the user's selections.
Google documents another important number: when Keep Activity is off, ordinary future chats are retained with the account for 72 hours for response, safety, and system purposes. If the user submits feedback, however, Google can collect the feedback, context including the last 24 hours of chats, and content in those chats. A short ordinary-chat window therefore does not establish a short feedback-retention window.
OpenAI: Feedback And Chat Deletion Are Documented As Different Paths
OpenAI's model-improvement documentation says that if an individual user provides feedback, the entire conversation associated with that feedback may be used to train models—even if the user previously opted out of routine training.
OpenAI's separate chat-deletion documentation says a deleted chat is removed from the user's view immediately and scheduled for permanent deletion within 30 days, unless it has already been de-identified and disassociated from the account or must be retained for security or legal reasons.
Those two documents do not establish that deleting a chat retracts feedback already submitted from it. The defensible conclusion is narrower:
- deleting a chat starts the documented chat-deletion path
- submitting feedback can place the associated conversation on a feedback or improvement path
- OpenAI's public documentation should not be read as a promise that the first action automatically reverses the second
For API organizations, OpenAI is more explicit about payload controls. Its API data-sharing guide says enabled Playground feedback can share the conversation up to that point, including inputs, outputs, and uploaded files. That reinforces the need to inspect the exact product and workspace rather than applying one consumer-chat assumption everywhere.
Microsoft 365 Copilot: Feedback Can Have Its Own Deletion Control
Microsoft's Copilot feedback documentation describes a separate feedback record and says users can view submitted feedback in the Microsoft feedback portal. For work or school accounts, an IT administrator can also view and delete feedback.
Microsoft adds an important limitation: it may already have seen and started working on feedback before an administrator views or deletes it. This does not mean deletion is useless. It means feedback deletion is its own workflow and cannot undo every action already taken.
Microsoft's model is a useful audit clue for any provider: if feedback has its own portal or administrator control, deleting the source chat and deleting the feedback are plainly different operations.
A Five-Record Test For AI Feedback Deletion
Before assuming that a delete command removed everything, trace five records.
1. The Source Conversation
Check whether the chat disappeared only from the sidebar or whether the provider also describes a backend deletion period. “Removed from view” and “deleted from systems” can happen at different times.
2. The Feedback Payload
Identify what the feedback form included:
- one answer
- the entire associated conversation
- a recent window of other chats
- written comments
- uploaded files or images
- file-derived text already present in the conversation
- connected-app content
- screenshots, diagnostics, or device data
The original attachment and a textual excerpt from it are different records. Excluding a file checkbox does not erase confidential material already quoted in the chat.
3. The Review Copy
Find out whether a trained reviewer, service provider, support team, administrator, or engineer can receive the submission. A review system may keep its own case, ticket, annotation, or quality record after the chat is gone.
4. The Improvement Copy
Determine whether the provider may use feedback for evaluation, safety work, product improvement, or model training. Those purposes are not interchangeable, and a general training opt-out may not cover voluntary feedback.
Read Can Submitting AI Feedback Override Your Training Opt-Out? for a provider-by-provider explanation of that distinction.
5. The Deletion Mechanism
Look for a feedback portal, “My Feedback” page, administrator control, privacy request, or support process. If the documentation only explains how to delete chats, do not assume it also covers submitted feedback.
The NIST Privacy Framework encourages organizations to identify and manage privacy risk across data processing. Applied to feedback, that means tracing collection, purpose, review, retention, and disposal for each copy instead of treating one interface action as proof.
What This Does Not Mean
It Does Not Mean Deleted Chats Always Remain
Providers can and do document deletion schedules for ordinary chat records. OpenAI, for example, says deleted chats are generally scheduled for permanent deletion within 30 days. The point is that a separate feedback record may follow another rule.
It Does Not Mean Every Feedback Submission Is Reviewed
Google's three-year statement applies to reviewed feedback and associated data. It does not prove that every rating is selected for human review or kept for the maximum period.
It Does Not Mean “Disconnected” Equals Anonymous
Data disconnected or disassociated from an account may be less directly linked, but that wording alone does not establish irreversible anonymization. Distinctive names, quotations, events, writing style, file contents, or combinations of details can still create privacy risk.
It Does Not Mean Every Rating Sends Every File
Some interfaces let users choose whether to include uploads. Others describe conversation context without saying that every original binary file is attached. However, file-derived text can remain in the conversation and be included even when the original file is not.
For the attachment-specific audit, read Can Rating An AI Response Send Uploaded Files For Model Improvement?.
It Does Not Mean A Delete Request Can Reverse Completed Review
Deleting a feedback record can reduce future access or use. It cannot make a human reviewer forget content already seen or automatically reverse engineering, safety, or product work already performed.
It Does Not Mean Every Provider Uses The Same Policy
Consumer, business, education, enterprise, API, and third-party AI products can have different defaults and administrator controls. Check the exact product and account type shown in the feedback interface.
What To Do After Submitting Sensitive AI Feedback
1. Delete The Source Chat If You No Longer Need It
Use the provider's actual Delete action, not Archive, Hide, or Clear Sidebar. Record the date and the deletion wording shown in the interface.
2. Check For A Separate Feedback Record
Look for:
- My Feedback
- feedback history
- support cases
- safety reports
- admin feedback portals
- organization audit or compliance tools
If the provider exposes a separate record, delete it there or ask the authorized administrator to do so.
3. Review The Provider's Feedback-Specific Policy
Search the official help center for the product name plus:
- feedback privacy
- feedback retention
- delete feedback
- human review
- associated conversation
- data request
Save the live policy URL and date. Policies can change after the submission.
4. Use The Provider's Privacy Request Process When Needed
If no self-service feedback deletion control exists, review the provider's privacy request or data-subject request process. Describe the product, account, date, and feedback event without repeating more sensitive content than necessary.
A request may still be limited by data that was disconnected from the account, legal obligations, security needs, or work already completed. Ask for a precise answer rather than assuming either success or impossibility.
5. Notify The Appropriate Owner
If the feedback contained employer, client, student, patient, customer, or partner data, follow the relevant incident and contractual process. Do not silently rely on chat deletion when another party owns the information.
6. Prevent A Repeat With A Sanitized Reproduction
Recreate the problem in a new conversation using:
- fake names and identifiers
- invented dates and amounts
- the smallest non-sensitive excerpt
- a purpose-built sample file
- no private URLs, credentials, or metadata
Submit feedback from the sanitized reproduction rather than the original sensitive thread.
What To Check Before Deleting Or Submitting Feedback
- [ ] Did the rating submit immediately, or was there a final confirmation?
- [ ] Was one answer, the associated conversation, or a recent context window included?
- [ ] Were files, images, audio, screenshots, or connected-app content included?
- [ ] Does the chat contain sensitive text derived from an upload?
- [ ] Can a human reviewer, service provider, administrator, or engineer see it?
- [ ] Is the feedback used for safety, support, evaluation, product improvement, or training?
- [ ] Does the provider publish a separate feedback-retention period?
- [ ] Does deleting the chat explicitly say it also deletes submitted feedback?
- [ ] Is there a feedback portal or administrator deletion control?
- [ ] Does a privacy request process cover feedback records?
- [ ] Has the record already been disconnected or disassociated from the account?
- [ ] Are security, legal, or managed-workspace retention rules involved?
- [ ] Can the issue be reproduced with synthetic data instead?
Where OpenVeil Fits
OpenVeil is a paid, privacy-focused AI chat workspace with browser-local history and no server-side chat-history record for normal private chat sessions. OpenVeil does not use prompts, uploaded files, images, audio, selected local-history context, or AI outputs to train foundation models.
That does not make OpenVeil fully offline, anonymous, or free of necessary provider processing. Active requests may still be processed by OpenVeil and necessary AI, search, upload-processing, hosting, routing, security, billing, and infrastructure providers. Account, billing, security, and operational records are separate from browser-local private-chat history.
The broader lesson still applies: visible chat history, feedback, operational records, and provider processing are different layers. Read the OpenVeil privacy policy and What To Check Before Trusting Any AI Privacy Claim, then create an OpenVeil account if that boundary fits your workflow.
Frequently Asked Questions
Does Deleting A Gemini Chat Delete Feedback I Submitted From It?
Not necessarily. Google says reviewed feedback, associated conversations, and related data can remain for up to three years after being disconnected from the account. It also says past chats already reviewed by service providers are not deleted when Gemini Apps activity is deleted.
Does Deleting A ChatGPT Conversation Retract A Thumbs-Down Report?
OpenAI documents chat deletion and voluntary feedback as separate paths. Its public guidance says deleted chats are generally scheduled for permanent deletion within 30 days, while an associated conversation submitted as feedback may be used for model improvement. The documentation does not promise that deleting the chat retracts already submitted feedback.
Can An Administrator Delete Copilot Feedback?
For Microsoft 365 Copilot work or school accounts, Microsoft says an IT administrator can delete submitted feedback. Microsoft also cautions that it may already have seen and started working on the feedback before deletion.
Is Turning Off AI Training Enough?
No. A training setting can control routine use of future conversations while a later voluntary feedback submission follows a separate rule. Check the feedback notice every time the thread contains sensitive information.
Does Feedback Include Uploaded Files?
Sometimes. Google lets users choose whether to include certain uploaded files or images in Gemini feedback, and OpenAI documents an API Playground path that can include uploaded files. Even when the original file is excluded, text derived from it may still be in the conversation.
Can I Withdraw Feedback After Submitting It?
It depends on the provider and account type. Microsoft documents a feedback portal and administrator deletion capability for Microsoft 365 Copilot. Other products may require a privacy request and may limit deletion after data is reviewed, disconnected from an account, or retained under another obligation.
What Is The Safest Way To Report A Bad AI Answer?
Reproduce the issue in a fresh conversation with synthetic names, fake values, and the minimum non-sensitive context required. Review the exact payload and notice before submitting.
The Bottom Line
Deleting an AI chat is not proof that a submitted feedback copy was deleted. A feedback action can create a separate record for review, safety, support, product improvement, or training, and that record can have its own retention and deletion controls.
Treat feedback as a disclosure event. Check the source chat, feedback payload, review copy, improvement use, and deletion mechanism separately. If a thread is sensitive, report the problem from a sanitized reproduction instead of trying to recall the original after submission.
Sources
- Google: Gemini Apps Privacy Hub
- Google: Send Feedback Or Report A Problem With Gemini Apps
- OpenAI: How Your Data Is Used To Improve Model Performance
- OpenAI: How To Delete And Archive Chats In ChatGPT
- OpenAI: Sharing Feedback And API Data
- Microsoft: Providing Feedback About Copilot With Microsoft 365 Apps
- NIST: Privacy Framework