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Google Chrome’s AI-Driven Scam Detection Feature Under Testing

Google Chrome’s AI-Driven Scam Detection Feature Under Testing

Google Chrome Introduces AI-Driven Scam Detection

In a significant development, Google Chrome is set to implement an AI-enhanced feature aimed at identifying online scams. This innovative flag, known as “Client Side Detection Brand and Intent for Scam Detection,”was recently discovered by a user on the social media platform X (previously known as Twitter) under the handle @Leopeva64, revealing its inclusion in the latest Google Chrome Canary build.

How the AI Scam Detection Works

This new feature utilizes an on-device Large Language Model (LLM) to efficiently pinpoint potential online scams. The flag’s description mentions: “Enables on-device LLM (large language model) output on pages to inquire for brand and intent of the page.” By processing data locally on user devices, this system ensures that sensitive user information is safeguarded, as it does not send any data to external servers or use it for AI training purposes.

Enable the Feature in Chrome Canary

For those eager to explore this new scam detection capability, it is essential to first download the latest version of Google Chrome Canary. Users can then navigate to chrome://flags/, where they will find the “Client Side Detection Brand and Intent for Scam Detection”flag. By enabling this option and restarting the browser, users can activate the feature to bolster their online safety.

Additional AI Features in Chrome

Recently, Google Chrome has also rolled out another AI-centric capability known as “Store Reviews.”This feature effectively summarizes product reviews from various third-party sources, including Trustpilot and ScamAdvisor. These platforms are invaluable for users seeking insights about online stores, helping them ascertain the legitimacy of different websites.

Get Started with Chrome Canary

The AI-powered scam detection functionality is currently exclusive to Google Chrome Canary. Interested users can download it here and get firsthand experience with this cutting-edge experimental feature.

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