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Google DeepMind and Singapore's GovTech develop on-device scam-detecting AI

Google DeepMind and Singapore's GovTech announced on October 14, 2026 that they have jointly built an on-device artificial intelligence system that flags scam conversations without sending any audio to the cloud. The partnership was unveiled at SICW 2026 in response to Singapore’s report that scams account for over half of all crimes, with losses exceeding 4 billion SGD since 2019.

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Key points

  • Google DeepMind and Singapore's GovTech co‑developed an on‑device AI that flags scam conversations without cloud transmission.
  • The system combines a lightweight first‑stage classifier with a fine‑tuned Gemma model trained on local scam tactics.
  • Announced on October 14, 2026 at SICW 2026; Singapore reports scam losses exceeding 4 billion SGD since 2019.

The system uses a two‑stage approach: a power‑efficient lightweight classifier screens incoming speech, and a second stage runs a fine‑tuned Gemma model trained on local scam tactics to analyse context and issue real‑time warnings. It operates only within user‑consented apps, keeping conversations encrypted and never transmitting them to Google or the government. The technology is already in practical use, with social implementation having begun.

Authorities say the rollout will be phased, and plans are already announced to expand the solution to other countries. The privacy‑first design aims to protect users while preserving the confidentiality of their personal communications.

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Full story from note.com · by rumor 編集部 · via Search: GoogleOpen source ↗

Can your smartphone detect scams without listening to your conversations!? Google and Singapore create an 'AI that protects privacy'

note.com · 17 October 2026

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This text was published by note.com and written by rumor 編集部. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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