How to Opt Out of AI Training Data Collection — Platform-by-Platform Guide (2026)

_Last updated: 2026-06-22_

Every conversation you've had with a major AI tool has almost certainly been used to make that tool better — for the company that built it, not for you.

That's not a conspiracy theory. It's the default. OpenAI, Google, Microsoft, and Slack all reserve the right to use your conversations for model training unless you explicitly tell them not to. Most users never do, because the opt-out is buried, poorly labeled, and reset when products update.

Here's the bottom line before we go platform-by-platform: If you're using AI tools to handle anything sensitive — client work, health information, legal questions, internal strategy — you should assume your prompts are training data until you've confirmed otherwise. This guide tells you exactly what to change and, where opting out isn't enough, what to switch to.

Why This Is More Than a Settings Issue

Before the platform walkthrough, it's worth understanding what "training data" actually means in this context — because not all AI data collection is the same.

Conversation logging vs. active training are different. A platform might store your conversations for 30 days for safety review without using them for model training. Both are worth caring about, but they require different responses.

Fine-tuning vs. pre-training matter differently to your privacy. Your conversations are most likely used for RLHF (Reinforcement Learning from Human Feedback) and fine-tuning — not baked into the core model weights. That means they influence how the model responds going forward, but won't be "recited" back to another user verbatim. Small comfort if the content is confidential, but worth knowing.

Enterprise vs. consumer tiers operate under different terms. If your company pays for a business or enterprise plan, you're almost always better protected than on a free or personal account. This guide covers both.

ChatGPT and OpenAI

OpenAI has two relevant controls, and most users only know about one.

Turn off "Improve the model for everyone"

This is the main training data opt-out. In ChatGPT:

Click your profile icon → Settings
Go to Data controls
Toggle Improve the model for everyone to OFF

When this is off, OpenAI says new conversations won't be used to train their models. Conversations that happened before you flipped the switch are not removed retroactively.

Use Temporary Chat for sensitive sessions

Even with training off, ChatGPT still saves your conversation history by default. Temporary Chat is a separate mode that doesn't save the conversation to your account at all — no history, no training data.

You can start one by clicking the pencil icon next to "ChatGPT" in the sidebar and selecting Temporary Chat, or by toggling it in the top-right of a new conversation. Think of it as incognito mode with actual teeth.

What the API and Team plans change

If you're accessing the API directly, OpenAI's terms state that API inputs and outputs are not used for training by default. OpenAI Team and Enterprise plans also exclude customer conversations from training. If you're paying for a business account, you're likely already protected — but verify with your plan documentation, since terms update periodically.

Google Gemini

Google's training data controls are tied to your Google account activity system, which makes them more powerful but also more confusing to find.

Turn off Gemini Apps Activity

Go to myaccount.google.com
Navigate to Data & Privacy → My Activity
Under History settings, look for Gemini Apps Activity
Click it and toggle it OFF

When Gemini Apps Activity is off, Google states that conversations aren't saved to your account and aren't reviewed by human raters for product improvement. Note: even with this off, Google may retain conversation data briefly for safety purposes — that's a policy carve-out in their terms, not a technical encryption guarantee.

The Gmail problem

If you use Gmail, your email may inform Google's AI systems through features like Smart Reply and Gemini's email-summarization features, even if you've turned off Gemini Apps Activity. This is a harder problem to solve without switching email providers.

For anyone handling sensitive communications, this is a significant gap. More on alternatives below.

Workspace (business) accounts

Google Workspace admins can control AI data processing at the organization level through the Admin Console under AI and related features. If you're on a Workspace account, the relevant controls may already be set — or locked — by your IT department.

Microsoft Copilot

Microsoft draws a sharp line between consumer and commercial products here.

Consumer Copilot (copilot.microsoft.com)

The consumer version of Copilot is subject to Microsoft's standard privacy terms. You can manage data settings at privacy.microsoft.com, but the controls are less granular than ChatGPT's. Microsoft's consumer terms reserve broader rights to use interaction data.

Microsoft 365 Copilot (enterprise)

Commercial M365 Copilot accounts operate under Microsoft's Data Protection Agreement, which explicitly states that customer data is not used to train foundation models. This is an architectural commitment, not just a policy — Microsoft claims a technical separation between customer tenant data and model training infrastructure.

If your organization uses M365 Copilot, you're better protected than most — but have your IT or legal team verify the current DPA if confidentiality is critical.

What to check in Settings

For consumer accounts, go to microsoft.com/en-us/privacy/privacystatement and search for your account's AI interaction history. Microsoft's privacy dashboard lets you view and delete stored interactions, though deleting history doesn't guarantee deletion from training pipelines.

Slack AI

Slack's training data situation is one of the least understood in the industry, partly because Slack has changed its position several times since introducing AI features.

The short version: Slack uses your messages, files, and reactions to train its ML models by default. This includes the content of private DMs unless your organization has explicitly opted out.

How to opt out (workspace admins only)

Individual users cannot opt out of Slack's AI training data collection. Only workspace owners and org admins can do this, by contacting Slack directly. As of mid-2026, the process involves emailing Slack's privacy team and having a signed Data Processing Addendum in place.

If you're an employee, not an admin, your only options are:

Ask your IT/security team to initiate the opt-out
Avoid using Slack for any content you wouldn't want appearing in Slack's training data
Move sensitive communications off Slack entirely

This is a legitimate reason why many security-conscious teams are reconsidering Slack for confidential work.

Claude (Anthropic)

Anthropic's data practices differ by account tier in ways that matter.

Free accounts: Anthropic may use conversations to improve Claude. Human reviewers may read conversations as part of trust and safety review.

Claude Pro (paid): Anthropic states that Pro subscribers' conversations are not used for training by default. You can verify and adjust this in Claude.ai → Settings → Privacy.

Claude for Work / Enterprise: Anthropic's commercial API and enterprise products are governed by a separate usage policy that explicitly excludes customer prompts from training data. If your team is using Claude at scale, this is the tier that matters.

The Structural Problem With Opt-Outs

Here's what the platform-by-platform guide above can't solve: you're trusting each company's policy to match their technical implementation. You can't audit their infrastructure. You can't verify that the toggle actually does what it claims.

For moderate-sensitivity work, opting out on each platform is probably sufficient. For high-sensitivity work — attorney-client privileged information, medical records, competitive business intelligence, government-adjacent work — policy opt-outs aren't enough. You need tools that are architected not to collect data in the first place.

There are two meaningful categories: AI tools that don't train on user data by design, and encrypted storage that keeps your documents out of reach even if your AI provider is compromised.

AI Tools That Don't Train on Your Conversations by Default

Perplexity AI takes a different approach to the training data question. Unlike ChatGPT, which trains on user conversations unless you opt out, Perplexity is designed around search-grounded responses — it cites sources rather than generating from pre-trained weights in the same way. Perplexity Pro does not use your conversations to train its models.

For research-heavy workflows where you'd otherwise use ChatGPT or Claude to synthesize information from the web, Perplexity Pro is the most direct privacy-preserving alternative. You get cited, source-linked answers without feeding a training pipeline. The Pro plan adds unlimited searches with the best available models, file uploads, and an API — at a price point that makes it a realistic daily driver.

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The Complete Opt-Out Checklist

Copy this and run through it:

ChatGPT / OpenAI

[ ] Settings → Data Controls → "Improve the model for everyone" → OFF
[ ] Use Temporary Chat for any sensitive sessions
[ ] If on a Team/Enterprise plan, confirm your DPA with your admin

Google Gemini

[ ] myaccount.google.com → Data & Privacy → Gemini Apps Activity → OFF
[ ] Review whether Gmail Smart Features feed AI training (Settings → See all settings → General → Smart features)
[ ] Workspace users: confirm org-level AI controls with your admin

Microsoft Copilot

[ ] Consumer: Review privacy.microsoft.com and delete stored interaction history
[ ] Commercial: Confirm your org's M365 DPA covers Copilot AI training exclusions

Slack AI

[ ] If you're an admin: initiate opt-out via Slack's privacy team (DPA required)
[ ] If you're not an admin: flag this to your IT/security team

Claude

[ ] Claude.ai → Settings → Privacy → confirm training data preference
[ ] Pro users: training off by default — verify it's still toggled correctly after product updates

Your storage layer

[ ] Audit what cloud provider holds files you're feeding to AI tools
[ ] For sensitive documents: move to Tresorit or Proton Drive before feeding them to any AI

What to Do Next

Opting out is table stakes, not a complete solution. The platforms above will update their terms, add new products, and reset your preferences through UI changes you might not notice. The more durable strategy is reducing how much data leaves your control in the first place:

Use local models (Ollama + Open WebUI) for any work that involves confidential client data
Keep sensitive files in zero-knowledge storage, not Google Drive or Dropbox
Use Perplexity Pro for cloud AI research — it's the cleanest commercial option from a training data standpoint
Re-check these settings every six months; products change and toggles get reset

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