Understanding how different AI platforms manage user data is crucial for making informed decisions about which services to use and how to interact with them. The following table provides an overview of key aspects of data handling for several popular AI platforms.
Platform |
User data used for training AI |
Can opt out? |
User data used for advertised targeting |
Can opt out? |
Usage Data used for compliance (30 day logging) |
Licensing related risks |
ChatGPT |
|
|
|
|
|
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OpenAI APIs |
|
|
|
|
|
|
Perplexity |
|
|
|
|
|
|
Anthropic Claude |
|
|
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|
|
|
Anthropic APIs |
|
|
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|
|
|
Windows OS |
|
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Stack Overflow |
|
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Reddit |
|
|
|
|
|
|
X (Formerly Twitter) |
|
|
|
|
|
|
WhatsApp |
|
|
|
|
|
|
We value your input in keeping this document up-to-date and comprehensive. Please share your thoughts in the comments:
- Are there other AI platforms or services you’d like to see added to this comparison?
- Have you noticed any inaccuracies or outdated information in the table above?
- Do you have additional insights on data handling practices for any of these platforms?
Your contributions will help us maintain the relevance and accuracy of this living document. We’ll regularly review comments and update the table accordingly to ensure it remains a valuable resource for our community.
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