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Core Insights - Google has announced the comprehensive introduction of an AI fraud detection system across its applications and search engine to combat online fraud effectively and create a safer online environment for users [1] Group 1: AI Implementation in Search Engine - Google successfully blocks "hundreds of millions" of fraudulent search results daily, achieving a 20-fold increase in interception efficiency compared to three years ago, thanks to deep application of AI technology [3] - The AI algorithms quickly identify and filter out fraudulent information, ensuring users access reliable information [3] Group 2: AI Features in Applications - Google Messages and Phone applications have integrated AI-driven fraud detection features that analyze messages and call content to identify potential scams, significantly reducing the occurrence of phone fraud [3] - The AI system alerts users promptly, protecting their financial security [3] Group 3: Browser Security Enhancements - For the desktop version of Chrome, Google has introduced the Gemini Nano large language model, which runs locally to provide additional security by analyzing web content for malicious intent [3] - This model sends security reports to Google's Safe Browsing service for final assessment, enhancing detection speed and identifying newly launched fraudulent websites [3] Group 4: AI Warnings in Chrome for Android - The Android version of Chrome has launched an "AI Warning" feature that analyzes suspicious notifications from web pages using local machine learning models [4] - Users receive immediate alerts when potentially fraudulent notifications are detected, advising caution to avoid phishing scams [4]

Google announced the rollout Thursday (May 8) of a fresh suite of artificial intelligence (AI)-powered safety features across its platforms to protect users from increasingly sophisticated scams.The company has integrated its on-device large language model (LLM), Gemini Nano, into Chrome’s Enhanced Protection mode on desktop. This model analyzes websites in real time to detect and warn users about threats such as tech support scams that use pop-ups and full-screen takeovers. On-device processing lets the br ...