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Barcelona distributes 200 AI translators to police and public services
Barcelona has begun distributing 200 artificial intelligence translation devices among the Guàrdia Urbana, social services, and citizen service offices. The aim is to reduce language barriers in a city where residents, tourists, and workers from very different backgrounds come together every day.
The devices can translate conversations in real time in up to 82 languages. They can also interpret text and images, a useful function for reading documents, signs or instructions when none of the people involved shares a common language.
Guàrdia Urbana officers are already testing these translators during their patrols. Their use may be particularly practical in tourist areas, stations, beaches and high-footfall locations, where enquiries and incidents often arise in several languages.
The tool will also reach social services and municipal offices. There it will make it possible to assist more quickly people who need to complete an administrative process, explain a family situation or ask for help without always depending on an interpreter's availability.
Machine translation will not replace professionals in complex conversations or procedures requiring legal precision. It can, however, speed up initial contacts, resolve simple questions and help ensure that an emergency is understood from the outset.
For municipal workers, having their own device avoids resorting to personal phones, scattered applications or third parties. The aim is to offer a more direct and consistent response, regardless of the neighbourhood or service the user visits.
The initiative responds to the rise in situations where language makes public assistance more difficult. In a city with a strong international presence, a question about transport, a report or a social-services procedure can become complicated if there is no quick way to translate.
The scene leaves patrols and municipal counters with a new tool in hand. The challenge will be to see whether the technology works with sufficient accuracy on the street, where noise, accents and urgency can put any machine translation to the test.