How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.

By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30^th, 2020)

Here’s why we’ll never be able to build a brain in a computer

It’s easy to equate brains and computers – they’re both thinking machines, after all. But the comparison doesn’t really stand up to closer inspection, as Dr. Lisa Feldman Barrett reveals.

People often describe the brain as a computer, as if neurons are like hardware and the mind is software. But this metaphor is deeply flawed.

A computer is built from static parts, whereas your brain constantly rewires itself as you age and learn. A computer stores information in files that are retrieved exactly, but brains don’t store information in any literal sense. Your memory is a constant construction of electrical pulses and swirling chemicals, and the same remembrance can be reassembled in different ways at different times.

Brains also do something critical that computers today can’t. A computer can be trained with thousands of photographs to recognise a dandelion as a plant with green leaves and yellow petals. You, however, can look at a dandelion and understand that in different situations it belongs to different categories. A dandelion in your vegetable garden is a weed, but in a bouquet from your child it’s a delightful flower. A dandelion in a salad is food, but people also consume dandelions as herbal medicine.

In other words, your brain effortlessly categorises objects by their function, not just their physical form. Some scientists believe that this incredible ability of the brain, called ad hoc category construction, may be fundamental to the way brains work.

Also, unlike a computer, your brain isn’t a bunch of parts in an empty case. Your brain inhabits a body, a complex web of systems that include over 600 muscles in motion, internal organs, a heart that pumps 7,500 litres of blood per day, and dozens of hormones and other chemicals, all of which must be coordinated, continually, to digest food, excrete waste, provide energy and fight illness.[…]

If we want a computer that thinks, feels, sees or acts like us, it must regulate a body – or something like a body – with a complex collection of systems that it must keep in balance to continue operating, and with sensations to keep that regulation in check. Today’s computers don’t work this way, but perhaps some engineers can come up with something that’s enough like a body to provide this necessary ingredient.

For now, ‘brain as computer’ remains just a metaphor. Metaphors can be wonderful for explaining complex topics in simple terms, but they fail when people treat the metaphor as an explanation. Metaphors provide the illusion of knowledge.

(Adapted from https://www.sciencefocus.com/future-technology/can-we-build-brain-computer/ Published: 24^th October, 2021, retrieved on February 9^th, 2022)