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AI chatbots are increasingly collecting user data, often more than users realize. While some apps only request basic information, others gather extensive data, including chat histories and personal identifiers. Notably, only a few chatbots, like Microsoft's Copilot, claim to collect minimal data, raising concerns about privacy.
The article highlights the varying levels of data collection among popular AI chatbots, with Google’s Gemini being particularly invasive. It emphasizes the importance of reading privacy policies to understand what data is being collected and how it is used. Users are encouraged to consider running AI models locally to minimize data sharing.
• AI chatbots often collect extensive user data, raising privacy concerns.
• Microsoft's Copilot is noted for minimal data collection compared to others.
Data collection refers to the process of gathering user information, which varies significantly among AI chatbots.
A privacy policy outlines how an app collects, uses, and protects user data, crucial for understanding data practices.
Local AI models allow users to run AI applications on personal devices, reducing reliance on cloud services and data sharing.
Google's Gemini chatbot collects extensive user data, including browsing history and personal contacts.
Microsoft's Copilot is designed to collect minimal user data, focusing on privacy and data protection.
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