Facial recognition tech wrongly identified 2,000 people as potential criminals

Facial recognition tech wrongly identified 2,000 people as potential criminals

  • May 8, 2018
Table of Contents

Facial recognition tech wrongly identified 2,000 people as potential criminals

Figures also revealed that 46 people were wrongly identified at an Anthony Joshua fight, while there were 42 false positives from a rugby match between Wales and Australia in November. All six matches at the Liam Gallagher concert in Cardiff in December were valid. Chief Constable Matt Jukes told the BBC the technology was used where there was likely to be large gatherings, as major sporting events and crowded places were ‘potential terrorist targets’.

‘We need to use technology when we’ve got tens of thousands of people in those crowds to protect everybody, and we are getting some great results from that,’ he said. ‘But we don’t take the use of it lightly and we are being really serious about making sure it is accurate.’ The force also said it had considered privacy issues ‘from the outset’, and had built in checks to ensure its approach was justified and proportionate.

Source: co.uk

Share :
comments powered by Disqus

Related Posts

The economics of artificial intelligence

The economics of artificial intelligence

When looking at artificial intelligence from the perspective of economics, we ask the same, single question that we ask with any technology: What does it reduce the cost of? Economists are good at taking the fun and wizardry out of technology and leaving us with this dry but illuminating question. The answer reveals why AI is so important relative to many other exciting technologies.

Read More
We Need Bug Bounties for Bad Algorithms

We Need Bug Bounties for Bad Algorithms

Algorithmic auditors are a growing discipline of researchers specializing in computer science and human-computer interaction. They employ a variety of methods to tinker with and uncover how algorithms work, and their research has already sparked public discussions and regulatory investigations into the most dominant and powerful algorithms of the Information Age. From Uber and Booking.com to Google and Facebook, to name a few, these friendly auditors already uncovered bias and deception in the algorithms that control our lives.

Read More