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Here’s How to Take Back Your Chatbot Data From AI Model Training

Don’t want your chatbot conversations to be used for AI training? Here’s what to do.

Here’s How to Take Back Your Chatbot Data From AI Model Training

Chatbots have become an integral part of our digital lives, used for various purposes from casual conversations to image and video generation. However, these AI models require substantial data to improve their performance, and users' data often contributes to this training process. While most chatbots use your data for model training by default, there are ways to take back control of your data.

For Google's Gemini, you can turn off Web & App Activity to prevent your new searches, location, and other data from being recorded and used for AI training. However, this won't delete existing activity, so you'll need to manually delete your data from a specific time range. Similarly, for Anthropic's Claude, you must manually delete existing conversations and turn off Location metadata. Deleted chats are stored for up to 30 days in Anthropic's back-end systems.

OpenAI's ChatGPT requires a bit more effort. In addition to disabling data usage, you can delete all your chats by using the Data controls menu, though new and existing chats will still be used for training. OpenAI stores deleted chats for 30 days. Unfortunately, Meta's Meta AI does not currently have a straightforward way to opt out of data usage, but you can submit a form to make your profile private and limit your posts to minimize data usage.

Microsoft's Grok on X also allows you to turn off AI model training by unchecking the box next to "Allow your public data as well as your interactions, inputs, and results with Grok and XAI to be used for training and fine-tuning." Additionally, you can choose to delete your conversation history with Grok in this menu.

Other AI tools may require similar steps, and the settings can be hard to find. However, it's crucial to check the data or privacy settings of each chatbot to ensure your data is not being misused for model training.

Written by urgent.news from CNET's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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