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How to Protect Your Personal Information When Using an AI Chatbot

Share only the information a chatbot needs. Check training, history, memory, and deletion controls separately, and verify the account and current policy before sharing sensitive data.
Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

Treat an AI chatbot like any other online service: anything you submit is information you are giving that service to process. Share only what the task requires. Before sending a prompt, remove names and identifying details, and do not include passwords, authentication codes, financial account credentials, private health details, customer records, or unreleased workplace information unless an authorized workflow specifically permits it.

Privacy settings can reduce certain kinds of future use or personalization, but they are not interchangeable. Check model-training controls, chat history, memory, and deletion separately—and verify the signed-in account and current product terms before sharing anything sensitive.

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What should you avoid typing into an AI chatbot?

Start by asking whether the chatbot needs the real detail to answer. If not, substitute a placeholder such as “[client]” or “[city]” and remove information that could identify a person, account, employer, or customer. For example, ask for help revising “a customer complaint about a delayed shipment” rather than pasting the customer’s name, address, order number, and full message.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

As a cautious rule, keep these out of prompts unless an approved process specifically requires them:

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  • Passwords, recovery phrases, one-time authentication codes, and account credentials.
  • Banking, payment, or other financial account details.
  • Private health information and personal contact details.
  • Customer records, confidential business material, and unreleased workplace information.

This is practical risk reduction, not a claim that every provider handles every category in the same way. A chatbot may need context to answer, but it rarely needs a real-world identity or secret credential.

Which privacy settings should you check?

Look for separate controls rather than assuming one privacy switch covers everything. The names and effects vary by service and can change as apps are updated. Check the provider’s current account settings and policy for each of these areas:

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  • Training or model improvement: Does the provider let you opt out of using conversations to improve models? Does the setting apply to conversations going forward?
  • Chat or activity history: Can you turn off saving history, or only delete saved conversations later?
  • Memory and personalization: Can the service remember details across chats, and can you review or remove those memories separately?
  • Deletion: What can you delete—individual chats, memories, uploaded files, or the account—and what limits or exceptions does the provider state?
  • Other input and review: Check whether the same controls cover uploads, voice, connected apps, and human review. Do not assume they do unless the current policy says so.

A setting that limits future model-improvement use should not be treated as proof that information already submitted disappears immediately from every system. Read the provider’s explanation of scope, retention, and exceptions, and use the available deletion controls when needed.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

How do ChatGPT and Microsoft Copilot describe their controls?

The examples below are provider-specific statements, not rules for every chatbot. Product interfaces, account types, and policies can change; follow the current documentation for the account and app you actually use.

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ChatGPT

OpenAI’s May 6, 2026 explanation of how ChatGPT learns while protecting privacy says conversations may be among the information sources used for model development when “Improve the model for everyone” is enabled. OpenAI also describes a privacy filter intended to identify and mask personal information. That is OpenAI’s description of its practices, not independent proof that sharing sensitive information is risk-free.

OpenAI’s Security and privacy page states: “You decide whether your data is used for training and model improvement.” It also describes controls for deleting memories, conversations, and account data. Use the account’s current controls and check OpenAI’s stated scope; the page should not be read as a guarantee of instantaneous deletion or of deletion without any legal or safety exceptions.

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Microsoft Copilot

Microsoft’s Copilot privacy FAQ says signed-in users can opt out of future conversation activity being used to train Microsoft’s generative AI models. It separately says conversations from users who are not signed in with a Microsoft account or third-party authentication are not used for training. Those are Microsoft’s stated policy and scope, not a general rule for other chatbots.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

Microsoft’s privacy-controls instructions cover personalization and memory, training on conversation activity, and deleting conversation history. The page says its instructions apply to the older Copilot app and notes that an updated app became available August 18, 2026. If your interface differs, use the current app’s controls and documentation rather than assuming the older steps still match.

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Does a work or school chatbot account change the privacy picture?

It can, but account context and eligibility matter. Microsoft documents enterprise data protection for eligible work or school use of Copilot Chat. Its work-or-school data-protection guidance and enterprise data-protection documentation describe that context; they do not establish the same protections for consumer accounts or other vendors. Microsoft also notes that an administrator may have access to audit or search functions, so work chats should not be assumed private from an organization.

Before using a chatbot for work, verify which account is signed in, whether the product and account qualify for the protections your organization expects, and what your employer’s policy permits. Do not upload company information to a personal chatbot merely because you believe an opt-out is enabled.

What privacy controls cannot guarantee

Turning off a training or personalization option is only useful for the activity and data the provider says that control covers. It does not, by itself, answer whether history is saved, whether a memory remains, what happens to uploaded or voice content, or how deletion works. Check each issue in the current provider policy rather than extending one setting’s promise to every kind of processing or storage.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

Regulatory attention is not the same as a finding of misconduct. In September 2025, the Federal Trade Commission announced an inquiry into AI chatbots acting as companions, asking about the use or sharing of personal information obtained through conversations. The inquiry establishes regulator interest; it does not establish that a particular chatbot violated the law.

A quick check before you press send

  1. Minimize the prompt. Remove names, contact details, account identifiers, secrets, and confidential material that are not essential.
  2. Check the account. Confirm whether you are using a personal or eligible work or school account, and follow your organization’s rules for workplace data.
  3. Review the controls. Check model-improvement use, history, memory or personalization, and deletion independently.
  4. Confirm the scope. Use current provider documentation to see whether the controls cover future chats, existing history, uploads, voice, connected apps, and human review.
  5. Choose whether to share. If the service’s terms or account context do not meet the need, do not submit the sensitive information.

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