Ayoub Khan
Main Page: Ayoub Khan (Independent - Birmingham Perry Barr)Department Debates - View all Ayoub Khan's debates with the Home Office
(3 days, 18 hours ago)
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I thank the right hon. Member for Maldon (Sir John Whittingdale) for securing this important debate. It is difficult to follow the comprehensive presentation of the hon. Member for Dewsbury and Batley (Iqbal Mohamed), but I would like to come at this debate from a different perspective—as a criminal barrister by profession. In trials that I have conducted, we have had difficulty with experts when identifying suspects charged in very serious cases. Two experts in relevant IT facial recognition software find it difficult to come to the same conclusion. One expert in a trial will say, “This is highly likely fitting of this particular defendant—confidence level maybe 50% or 60%.” Another expert in the same trial will counterargue and say, “Well, there are dissimilarities between the face and the image that we have been able to capture.” Ultimately, it is a matter for the jury as to whether they accept one expert’s opinion over another. As a result, at present, we have counterarguments between experts over facial recognition technology.
What concerns me is the idea of allowing the state, in essence, to deploy this kind of technology in high streets, for example. The hon. Member for Brent East (Dawn Butler) has already raised the issue of the disproportionate rate of stop and search—by multiple times; I think the rate was nine times higher for black males. What impact will facial recognition live transmission data have in the city of Birmingham? It is going to have an enormous impact. Members have raised the difficulties with the percentage error of recognitions, and the distrust that we have in Birmingham is a challenge already, particularly with young men and the police. What will this technology achieve? Will young men start wearing more face coverings in city centres? How will this technology be used, even if it is legislated for properly? For example, will the police have to notify the public, “We are using this facial recognition technology in the Bullring today between the hours of 10 am and 10 pm?” It does not seem to serve any real purpose.
We have a very effective police force in the west midlands, and it uses CCTV, which we have all over. If hon. Members go to any street in Birmingham, they will find tens or hundreds of houses with CCTV, and the police have used that to great effect; after a crime is committed, they track back and they prosecute. We have had so many successful prosecutions in very serious crimes, such as murder and violent crime, but the deployment of this technology will create enormous problems and divisions. As I said, there are already problems with how minority communities feel when they are stopped and searched. I think the right hon. Member for Maldon said that in the trial about 10 people were stopped, with one to two—as little as 10%—being identified. As the technology develops further, that percentage may increase, but at present I do not see how it will assist at all. Criminals know very well how to avoid detection, and face coverings will become the norm. Other than surveillance, this technology achieves very little. I do not see how it will assist in detection.
The hon. Member for Brent East drew some simple parallels. What would the public think about being stopped on a busy high street and asked to come to a police van to give their fingerprints and DNA? They would be outraged, and rightly so. It would almost legitimise police officers approaching people, in particular young men. We know that not just black people, but people of colour, women and children will be subject to the technology, and we know that there are errors. The right to privacy and the freedoms that we have are far greater than this technology, and I do not see how it will assist in deterrence, because people will simply use face coverings and all sorts of other things.
I see no other Back Benchers who wish to contribute, so I call the Liberal Democrat spokesperson.