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UK Electoral Commission targets election deepfakes within three hours

Original title: Deepfakes and Election Manipulation: UK Watchdog Seeks Faster Detection

Security Affairsby Pierluigi Paganini ()4 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

A May 2026 pilot scanned about three million posts; humans judged ten seriously misleading.

UK Electoral Commission chief executive Vijay Rangarajan said the regulator is building an AI system to alert candidates to damaging deepfakes within about three hours, roughly the time content takes to go viral. A pilot during May 2026 local elections analyzed about three million posts, flagged 147, and referred ten after human review to platforms or police. He cited a false Irish 2025 video of candidate Catherine Connolly and said identifying creators can take weeks. He also said UK law does not clearly cover suspected algorithmic bias, and the Commission faces 30,000 to 40,000 cyberattacks a month.

Unconfirmed: He did not name the network he believes showed algorithmic bias, and takedown-power reporting is secondhand.

Key facts
  • The pilot watched fake audio and video about the election process or candidates.
  • Labeled illustrative AI clips of a Glasgow candidate fell outside the pilot.
  • Rangarajan says the next general election must occur by August 2029.
  • He wants another body to handle major social-media monitoring.
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From the original article

4 min read at securityaffairs.com

The UK Electoral Commission is building an AI system to alert candidates to damaging deepfakes within three hours. The UK’s Electoral Commission is building an AI-powered system to tell candidates about significant deepfakes within three hours of posting. Its chief executive, Vijay Rangarajan, said so at a panel at the Conservative Party’s annual conference last […]

Security Affairs

By Pierluigi Paganini · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.