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Google Engineer Warns Users To Keep Sensitive Data Out of Public Chatbots

Because leading vendors train on user inputs, experts urge history deletion plus enterprise options for sensitive tasks.

Overview

  • Harsh Varshney, a Google Chrome AI security engineer, says to treat public chatbots like open postcards and never share credit cards, social security numbers, home addresses or medical details.
  • An analysis cited from Stanford’s Institute for Human-Centered AI finds major chatbot providers default to using user data for model improvement, with some policies allowing indefinite retention.
  • Long-term memory features can resurface past disclosures, as Varshney observed when Gemini recalled his address from an earlier email-editing prompt.
  • Recommended safeguards include regularly deleting chat histories, using temporary or incognito chats, checking privacy settings to disable training where possible, and choosing enterprise tiers for work content.
  • Growing user attachment, especially among youth, increases disclosure risks, with experts warning of identity theft, targeted phishing and accidental leakage of corporate code or plans.