UK Parliament / Open data

Artificial Intelligence and the Labour Market

I thank the hon. Member for her comments. Mental health is a passion of mine—I had a ten-minute rule Bill about ensuring that mental health first aiders are in the workplace—and I agree wholeheartedly. We saw that in evidence given to the Draft Online Safety Bill Joint Committee; Rio Ferdinand talked, including in his documentary, about the fact that what is said online can affect a person’s real life. The challenge with artificial intelligence is that it will not just be able to say those things; it will probably know precisely how to do the most harm, how to hit the right triggers to make people buy things and how to fool and deceive people to ensure they hand over money or their rights.

I will move on because I am conscious of time. I know we have quite a long time for this debate, but I do not intend to use it all; I promise. I think that the creativity part is absolutely essential. A few weeks ago, I predicted in Parliament that, in the next year or so, a No. 1 song will be created by artificial intelligence for the first time. I have no doubt that a No. 1 bestselling book will be written by artificial intelligence. I have no doubt that new songs in the voices of artists who are no longer around, such as Elvis Presley, will be released, and that actors who are sadly no longer alive will play starring roles in new films. We are seeing this already on a soft scale, but it is going to become more and more pervasive.

It is not all negative. I do not want to be a doomsayer. There are great opportunities: Britain—this wonderful country—could be the home of identifying and delivering transparency within those industries. We could be the country that creates the technology and the platforms to identify where artificial intelligence is being used; it could flag up when things are not real. It could, for example, force organisations to say who they are, what they are doing and whether they have used artificial intelligence. I think that will create a whole new world of labour markets and industries that will stem from this country and create all the jobs that we talked about earlier.

I am also concerned that we do not often talk in the same breath about artificial intelligence and robotics. In the industrial world, such as in warehouses and so on, there has been a rise in the use of robotics to replace real people. Office jobs are changing due to artificial

intelligence. The role of accountants, of back-office staff and of both blue and white-collar workers will change.

As was stated earlier, the challenge with robotics is on things such as defence. Artificial intelligence is being used in robotics to get way ahead of the scale of where we are now. We really need to take that seriously. ChatGPT was probed. People tried to catch it out on different aspects of its response. When asked how it would steal the nuclear codes, it outlined how it would do it. I am not trying to give any bad actors out there any ideas, but it explained how it would use AI to control drones, and how they would be able to go in and do certain things. Hopefully, it got it all wrong. However, if AI is in not just our computers and mobile phones, but in drones and new robots that are incredibly sophisticated, incredibly small and not always identifiable, we need to be really wary.

There are many positives, such as for detection in the health sector and for identifying things such as breast cancer. Recently, I have seen lots of work about how artificial intelligence could be layered on the human aspect and insight, which was mentioned earlier, and enable the identification of things that we would not normally be able to see.

There is huge positive scope for using data. I have said previously that, if we were to donate our health data to live clinical trials in a way that was legitimate and pseudonymised, artificial intelligence could be used to identify a cure for cancer and for diseases that have affected our society for many centuries. In the same way that it has found new ways of playing chess, it might find new ways of changing and saving lives. There is great opportunity there.

Many years ago, I wrote an article called, “Me, Myself and AI”. In it, I commented on areas where AI is dangerous, but I also mentioned opportunities for positives. I would like to make one final point on this: we must also make sure that the data that goes into the AI is tracked not only for things such as royalties in creative industries, but for bias. I wrote an article on that a while ago. If we take a sample, say within a health context, and take that data based on only one ethnicity or demographic, the AI will develop options and solutions for that group. If we do not have the right data, regarding diversity, going into the analysis, we risk not being able to identify future issues. For example, sickle cell disease might get missed because the data that the AI is using is based only on clinical trials with white people.

There is a wide-ranging issue about what is being fed into the systems around AI and how we ensure that we identify where AI is being used—hence my point about a Turing clause when it comes to deception. We also need to know where it is being used, including in Government. We need to look at the opportunities, too: whole new industries around how we monitor AI, apply it and use the science of it.

AI is already there in the spelling of “Great Britain”. We have a great opportunity to be ahead of the curve, and we need to be because the curve will be moving beyond us within a matter of weeks or months—and definitely within years.

3.6 pm

About this proceeding contribution

Reference

731 cc397-400WH 

Session

2022-23

Chamber / Committee

Westminster Hall
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