Law Enforcement

AI tags potential criminals before they’ve done anything

©iStock/BrianAJackson

British police want to use AI for highlighting who is at risk of becoming a criminal before they’ve actually committed any crime.

Although it sounds like a dystopian nightmare, there are clear benefits.

Resources and outreach programs can be allocated to attempt preventing a crime, stop anyone becoming a victim, and remove the costs associated with prosecuting and jailing someone.

With prisons overburdened and space limited, reducing the need to lock someone up is a win for everyone. Courts can also prioritise other matters to improve the efficiency of the whole legal infrastructure.

The proposed system is called the National Data Analytics Solution (NDAS) and uses data from local and national police databases.

According to NDAS’ project leader, over a terabyte of data has been collected from the aforementioned databases. This data includes logs of committed crimes in addition to around five million identifiable people.

There are over 1,400 indicators within the data which the AI uses to calculate an individual’s risk of committing a crime. Such indicators could include past offences, whether the person had assistance, and whether those in their network are criminals.

Alleviating some fears, there are no plans to arrest someone before they’ve committed a crime based on their potential. The system is designed as a preventative measure.

 Interested in hearing industry leaders discuss subjects like this and their use cases? Attend the co-located AI & Big Data Expo events with upcoming shows in Silicon Valley, London, and Amsterdam to learn more. Co-located with the IoT Tech Expo, Blockchain Expo, and Cyber Security & Cloud Expo.

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