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EU mulls 5-year ban on facial recognition tech in public areas

by Reuters
Thursday, 16 January 2020 20:49 GMT

CCTV cameras are pictured at the main railway station (Hauptbahnhof) in Berlin, Germany, August 22, 2019. REUTERS/Fabrizio Bensch

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The plan by the EU's executive comes amid a global debate about the systems driven by artificial intelligence and widely used by law enforcement agencies

By Foo Yun Chee

BRUSSELS, Jan 16 (Reuters) - The European Union is considering banning facial recognition technology in public areas for up to five years, to give it time to work out how to prevent abuses, according to proposals seen by Reuters.

The plan by the EU's executive - set out in an 18-page white paper - comes amid a global debate about the systems driven by artificial intelligence and widely used by law enforcement agencies.

The EU Commission said new tough rules may have to be introduced to bolster existing regulations protecting Europeans' privacy and data rights.

"Building on these existing provisions, the future regulatory framework could go further and include a time-limited ban on the use of facial recognition technology in public spaces," the EU document said. During that ban, of between three to five years, "a sound methodology for assessing the impacts of this technology and possible risk management measures could be identified and developed."

Exceptions to the ban could be made for security projects as well as research and development, the paper said.

The document also suggested imposing obligations on both developers and users of artificial intelligence and that EU countries should appoint authorities to monitor the new rules.

The Commission will seek feedback on its white paper before making a final decision, officials said. EU digital and antitrust chief Margrethe Vestager is expected to present her proposals next month.

The U.S. government earlier this month announced regulatory guidelines on artificial intelligence technology aimed at limiting authorities' overreach and urged Europe to avoid aggressive approaches. (Reporting by Foo Yun Chee; Editing by Andrew Heavens)

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