Google Messages uses unencrypted chats to train AI spam detection feature

Google uses on-device machine learning to see patterns in users’ messages and detect spam
An undated image of  a person using message app. — Unsplash
An undated image of  a person using message app. — Unsplash

Google Messages is enhancing its spam detection feature, enabled by default, by using “signals” from unencrypted chats.

The spam detection feature prevents message delivery and redirects such unencrypted messages to the app's “Spam” folder which distinguishes scams from genuine messages.

Google uses on-device machine learning to see patterns in users’ messages and detect spam. Moreover, it will also check for URLs in the messages, and upload it to Google to ensure that it isn’t a spam link. 

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The update was seen on the Google documentation page which was previously titled "Your chats stay private with spam detection," and the page is now called "How Google protects your privacy with spam detection."

The tech giant has updated its description which now includes a big section about how spam detection might process suspicious texts and "signals" from them will be used to enhance AI models for spam detection.

It also clarified that only unencrypted messages are used to train AI models, while encrypted chats will remain protected, ensuring the private chat remains secure.

This allows users to report spam messages to both Google and their cellular service provider, making it easier to filter region-specific scams or attempts to target customers of a specific operator.

Google Messages users can enjoy peace of mind knowing that their conversations are being protected from spam and malicious content as the feature works seamlessly in the background, ensuring a more secure messaging experience.