That this House has considered the potential impact of artificial intelligence on the labour market.
It is a privilege to serve under your chairmanship, Dame Maria. I am grateful to all hon. Friends and Members who have taken the time to participate in this important debate. It is a particular pleasure to see my hon. Friend the Member for Ellesmere Port and Neston (Justin Madders) in his place. I wish to draw the attention of the House to my entry in the Register of Members’ Financial Interests.
The rapid advance of artificial intelligence technology poses a severe threat to the labour market and to workers’ rights. The negative effect of AI on the workforce cannot be ignored, as it has the potential to displace jobs, lead to economic inequality and erode the rights of workers. AI has the capability to automate jobs and various industries, which could result in widespread unemployment and exacerbate existing socioeconomic disparities. Low-skilled workers, who are already vulnerable to exploitation, are likely to be the most impacted, leading to a growing divide between the haves and the have-nots.
Furthermore, the implementation of AI in the workplace could result in the violation of workers’ rights such as privacy, autonomy and fair pay. The use of AI to monitor and control workers could lead to increased exploitation, discrimination and the creation of a toxic work environment. If left unchecked, the rise of AI could lead to a future where workers are replaced by machines, and human dignity is sacrificed for the sake of corporate profits. The deployment of AI in the workplace must be accompanied by strong regulations and policies that prioritise the wellbeing and rights of workers.
Governments and companies must take responsibility for the harmful impact of AI on the labour market and take immediate action to prevent its negative effects. Failure to do so would result in an irreparable loss of jobs, economic inequality and a violation of workers’ basic rights.
For Members who have heard me speak before in this House, that introduction must have felt unusually stilted, or perhaps uncharacteristically eloquent. That is because it was written entirely by ChatGPT—one of a number of increasingly sophisticated AI chatbots that have become readily accessible in the past few months. At this point, let me reassure my parliamentary researcher, who is watching this debate, that he does not need to worry about his P45—yet. The unusual distinction of being the first Member of Parliament to openly read AI-generated text into Hansard belongs to the hon. Member for Bosworth (Dr Evans). Like him, I have chosen to turn to one of the most widely used AI-powered technologies to illustrate the rapid advances taking place in the field of artificial intelligence, and the potentially devastating consequences that this could have on workers in every sector of the economy.
Dr Lisa Cameron (East Kilbride, Strathaven and Lesmahagow) (SNP)
I thank the hon. Gentleman for making an impressive speech and extremely good points about the welfare of workers. As a union rep, I agree that we must have safeguards around AI developments. Does he agree that in order to make this new technology available to all, we should seek to level up across the UK and ensure that coding opportunities and the jobs of the future are available to young people in all areas, including deprived areas?
The hon. Member makes a good point. When it comes to AI, all workers need protections.
Research by PricewaterhouseCoopers suggests that AI will be responsible for 46% of the UK’s long-term output growth. It promises job creation in sectors such as health, education, and science and technology. At the same time, it threatens devastating job losses in sectors such as manufacturing, transport and public administration. Some 7% of all UK jobs could be automated away within the next five years, and as many as 30% could disappear within 20 years.
The last time we experienced systemic economic displacement on anything like that scale was during the deindustrialisation of the 1980s and 1990s. The architects of that policy believed that nothing should be done to support those communities that carried the cost of the economic and social fallout, the legacy of which my constituency of Birkenhead continues to live with to this day. They followed the ancient mantra that the strong do what they can and the weak suffer what they must. We must not repeat that mistake again. I have called today’s debate to make an urgent plea for a rights-based and people-focused approach to artificial intelligence, and for a process that puts the voices and interests of workers at its heart. In this new machine age, we must assert more than ever the fundamental right of all people to a basic level of economic security and dignity at work.
The hon. Gentleman makes an interesting point, much of which I support. It is not controversial to suggest that the NHS would benefit from more doctors or that digital tech has the potential to improve people’s lives. The Health and Social Care Committee has been looking at both of those issues. As part of one of its inquiries, the Committee went to San Francisco about a month ago to look at how AI can help in medicine. We found that computers can be taught to read mammograms of breast screening tests. That means that, rather than having to be read by two independent doctors, the mammograms can be read by one doctor and one computer. Apparently, the process is more accurate than one involving two computers or, indeed, two doctors. Therefore, AI has the potential not just to cause the workforce issues raised by the hon. Gentleman, but to benefit areas with workforce shortages.
I thank the hon. Member for those points. I have already said that we must embrace AI and what it does for us. We are not here to stop progress, but my point is that the Government need to build in regulatory rights and protections.
The benefits of this new technological revolution must be shared by everyone, not just an elite few. I do not claim to have the answers to a challenge of such enormous magnitude—I look forward to hearing hon. Members’ thoughts in a few moments’ time—but a starting point must surely be guaranteeing support to those sectors and communities that will be most affected by the threat and reality of economic displacement. That means strengthening our collective social security net and seriously considering the role that a universal basic income might play in ensuring a decent standard of living in a labour market increasingly characterised by job scarcity. It means investing in skills and lifelong learning, ensuring that workers whose employment is lost to AI have the opportunity to find well-paid and similarly rewarding work.
In any democracy we have to recognise that technology is never ideologically neutral. Every technological system reflects the interests and biases of its creators and funders. Our challenge is to ensure that AI technologies reflect a multiplicity of voices, including those of workers, and not just in their application but in their conception and design as well. I hope we will continue to discuss how we can achieve that.
A people-focused approach to AI must also mean doing more to guarantee the rights of those workers who are already working alongside artificial intelligence and related technologies in their workplace. The AI working group set up by the Trades Union Congress surveyed thousands of workers in producing its report on the worker experience of AI and associated technologies. It shows vividly how workers are increasingly managed by machines, how their rights and autonomy are being steadily eroded, and how automated processes often perpetuate human prejudice when making decisions on employees’ performance, hiring and promotions.
It is a pleasure to serve under your chairship this afternoon, Dame Maria, and I congratulate the hon. Member for Birkenhead (Mick Whitley), both on securing this very important debate and on his excellent speech.
Artificial intelligence is an enabling technology. It is driving the digital age, but it is based on a series of points of data that are gathered by computer systems and processed in order to make decisions. It still requires a huge amount of human intervention in determining what data will be drawn on and therefore what decisions should be made. Consequently, there has to be a level of human responsibility, as well.
We can see already from the development of AI that it is not just question of computer systems learning from existing patterns of behaviour; they are also effectively thinking for themselves. The development of AI in chess is a good example of that. Not only are AI systems learning to make the moves that a human would make, always selecting the perfect combination and, therefore, being much more successful. When given the command to win the game, AI systems have also developed ways of playing that are unique, that the human mind has not thought of or popularised, and that are yet more efficient at winning. That is very interesting for those interested in chess. Perhaps not everyone is interested in chess, but that shows the power of AI to make autonomous decisions, based on data and information it is given. Humans invented the game of chess, but AI can learn to play it in ways not thought of by humans.
The application of AI in the defence space is even more scary, as touched on by the hon. Member for Birkenhead. AI-enabled weapons systems can be aggressive, make decisions quickly and behave in unpredictable ways. The human strategist is not able to keep pace with them and we would require AI-driven defence systems to protect ourselves from them. It would be alarming to live in a world where aggressive technology driven by AI can be combatted only by AI, with no human intervention in the process. It is scary to think of a security situation, like the Cuban missile crisis in the 1960s, where the strategies are pursued solely by AI. Therefore, we will have to think as we do in other areas of warfare, where we have bans on certain types of chemical weapons. There are certain systems that are considered so potentially devastating that they will not be used—there are moratoriums on their use and deployment. When thinking about AI in the defence space, we may well have to consider what security to build into it as well. We also need to think about the responsibility of companies that develop AI systems just for their commercial interests. What responsibility lies on them for the systems that they have created?
It is a privilege to speak in this debate, and I thank the hon. Member for Birkenhead (Mick Whitley) for securing it. I wanted to apply for it myself—he beat me to the chase, which is a wonderful thing.
Before I became an MP, one of my final clients was in the AI space. It dealt with artificial intelligence and psychology—I believe that my first entry in the Register of Members’ Financial Interests was my final bit of work for it—so I have seen this technology evolve over many years. We often talk about technology revolutions, but this has been an incredibly fast evolution.
We are seeing Moore’s law, which related to the size and scale of technology, affect society. The scale of what is happening right now is both inspirationally amazing and terrifying at the same time. It will absolutely shape the job market and the type of jobs that come through over the next few years. It will shape how people interface with their co-workers, with technology, with society and with politicians. It will affect every aspect of our lives.
I am particularly concerned about the use of artificial intelligence for deception. I have long said—not necessarily in the Chamber, so I put it on the record now—that there should be in law something that I would call the Turing clause. It would mean that when technology is used to deceive somebody into believing that they are talking to a real person or engaging with a real business, whether for entertainment or for any other purpose—for instance watching a deepfake, which is perhaps for entertainment purposes—it must be crystal clear to them that they are being deceived.
I will give some examples. I was recently speaking to somebody who works in the entertainment industry, running studios where they record sound, voiceovers and music. They said—I should declare that I do not know the scale of this issue and have not looked into the numbers—that lot of the studios are often being used to record voiceovers for AI companies, so that the AI can learn how to speak like a real person. We all know about fraud and scams in which somebody gets phoned up from a call centre and told, “Your insurance is up,” or by someone pretending to be from the Government. We saw, awfully, during the covid crisis how those horrible people would try to scam people. Doing that requires a number of people in a space.
Dr Cameron
I thank the hon. Gentleman for making those extremely important points. Just last week, we had the Children’s Parliament at the all-party parliamentary group on the metaverse and web 3.0. The children were excited about the opportunities of AI and the metaverse, and we were told on the day that the World Economic Forum predicts that technology will create 97 million new jobs by 2025 alone. But like the hon. Gentleman, they were also very concerned about what is real and what is not, and they were concerned about the mental health impact of spending much of the day in an altered reality setting. Does the hon. Gentleman agree that we need much more research into the mental health impact on staff and young people who are engaged in AI?
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.
It is a pleasure to serve under your chairship this afternoon, Dame Maria, and to take part in this particularly timely debate. I congratulate the hon. Member for Birkenhead (Mick Whitley) on securing it.
I begin by declaring a rather tenuous interest—a constituency interest of sorts—regarding the computing pioneer Alan Turing. The Turing family held the baronetcy of Foveran, which is a parish in my constituency between the north of Aberdeen and Ellon. Although there is no evidence that Alan Turing ever actually visited, it is a connection that the area clings to as fastly as it can.
Alan Turing, of course, developed what we now know as the Turing test—a test of a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. One of the developments to come closest to that in recent times is, of course, ChatGPT, which several speakers have mentioned already. It is a natural-language processing tool driven by AI technology, which has the ability to generate text and interact with humans.
The hon. Member for Birkenhead was a bit braver than I was; I only toyed with the idea of using ChatGPT to produce some of my speech today. However, I was put off somewhat by a very good friend of mine, with an IT background, using the ChatGPT interface to produce a biography of me. He then shared it with his friendship group on Facebook.
I think it is fair to say that it shows up clearly that if ChatGPT does not know the answer to something, it will fill the gap by making up something that it thinks will sound plausible. In that sense, it is maybe no different from your average Cabinet Minister. However, that does mean that, in subject areas where the data on which it is drawing is rather scant, things can get quite interesting and inventive.
The hon. Gentleman makes an incredibly important point. When AI systems such as that are asked questions that they do not know, rather than responding, “I don’t know,” they just make something up. A human is therefore required to understand whether what they are being showed is correct. The hon. Gentleman knows his own biography better than ChatGPT does, but someone else may not.
I thank the hon. Member for that intervention. He has perhaps read ahead towards the conclusion of my speech, but it is an interesting dichotomy. Obviously, I know my biography best, but there are people out there, not in the AI world—Wikipedia editors, for example—who think that they know my biography better than I do in some respects.
However, to give the example, the biography generated by AI said that I had been a director at the Scottish Environmental Protection Agency, and, prior to that, I had been a senior manager at the National Trust for Scotland. I had also apparently served in the Royal Air Force. None of that is true, but, on one level, it does make me want to meet this other Richard Thomson who exists out there. He has clearly had a far more interesting life than I have had to date.
Although that level of misinformation is relatively benign, it does show the dangers that can be presented by the manipulation of the information space, and I think that the increasing use and application of AI raises some significant and challenging ethical questions.
Any computing system is based on the premise of input, process and output. Therefore, great confidence is needed when it comes to the quality of information that goes in—on which the outputs are based—as well as the algorithms used to extrapolate from that information to create the output, the purpose for which the output is then used, the impact it goes on to have, and, indeed, the level of human oversight at the end.
In March, Goldman Sachs published a report indicating that AI could replace up to 300 million full-time equivalent jobs and a quarter of all the work tasks in the US and Europe. It found that some 46% of administrative tasks and even 44% in the legal professions could be automated. GPT-4 recently managed to pass the US Bar exam, which is perhaps less a sign of machine intelligence than of the fact that the US Bar exam is not a fantastic test of AI capabilities—although I am sure it is a fantastic test of lawyers in the States.
This is one point—and a concern of mine—that I did not explore in my speech because I was conscious of its length. As has been pointed out, a speech has been given previously that was written by artificial intelligence, as has a question in Parliament. We politicians rely on academic research and on the Library. We also google and meet people to inform our discussions and debates. I will keep going on about my Turing clause—which connects to the hon. Gentleman’s point—because I am concerned that if we do not have something like that to highlight a deception, there is a risk that politicians will go into debates or votes that affect the government of this country having been deceived—potentially on purpose, by bad actors. That is a real risk, which is why there needs to be transparency. We need something crystal clear that says, “This is deceptive content” or “This has been produced or informed by AI”, to ensure the right and true decisions are being made based on actual fact. That would cover all the issues that have been raised today. Does the hon. Member share that view?
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Of course, the impacts of this AI revolution will be felt far beyond the labour market. Information is an increasingly valuable commodity; it is also a potential weapon of war. The danger is simple: technologies such as ChatGPT and DALL-E could be used to proliferate dangerous misinformation and subvert our already compromised democracy. We need further and extensive scrutiny of the risks and of the steps that we need to take to better protect our constituents’ data privacy.
I have chosen to use the limited time available today to look at the impact of artificial intelligence on the labour market, and particularly on workers’ rights. That is not only because I have spent my adult life fighting for workers’ rights, but because it is in the labour market that that change is happening most rapidly, and it is in the everyday experience of work that the disruption of AI is being most keenly felt.
We have heard much in recent years about how we stand on the edge of a fourth industrial revolution. That revolution is now well under way; its effects will be profound and far-reaching. Every part of our public life will be transformed. I want to be clear: I am no enemy of progress. We should embrace the potential of AI to change our lives for the better, whether by improving diagnosis and treatment of disease or by driving sustainable economic growth that can benefit us all. Just as the first industrial revolution brought about an era of unprecedented wealth for an elite few but condemned the British working class and colonised people across the world to a life of precarity and poverty, the AI revolution will create again—if we allow it to do so—a world of winners and losers.
The Government’s response was set out in the Department for Science, Innovation and Technology’s recently published AI White Paper, which advocates a light-touch approach and effectively leaves the market to regulate itself. Although Ministers have devised five fundamental principles that should inform the adoption and use of AI in workplaces, they do not intend to place those principles on a statutory footing. Instead, the implementation of those principles will be left to underfunded and overstretched regulators, such as the Information Commissioner’s Office and the Equality and Human Rights Commission.
That contrasts starkly with the models adopted by other developed economies. The European Union’s Artificial Intelligence Act is likely to be one of the most comprehensive pieces of legislation ever passed on this subject, while California—the very centre of global technology innovation—is preparing to implement measures to protect the privacy and civil liberties of workers. These measures include a new office for AI, with the authority to guide the development of new automated systems, as well as statutory restrictions on the use of automated decision making in the workplace.
The proposal set out by the TUC’s AI manifesto, copies of which I have brought to Westminster Hall for Members today, involves taking a very different position from that taken by the Government. Building on the existing framework of equalities legislation, it calls for a rights-based approach to manage the transition to AI that would strengthen equality protections, guarantee workers the right to human contact and require a human review of high-risk decisions that have been automated, and protect the right to disconnect for all workers. It is also absolutely right to acknowledge the need to listen to workers—their voices and their experiences—in managing this transition. It is essential that we recognise and value the role of trade unions as a vehicle for getting those voices heard.
It is for those reasons that the manifesto proposes a statutory duty for employers to consult trade union representatives before adopting AI and associated technologies. It is also why the manifesto urges employers to agree collective agreements with unions to govern the use of AI in the workplace.
Last December, when I questioned the then Business Secretary—the right hon. Member for Welwyn Hatfield (Grant Shapps)—on the merits of introducing a statutory duty to consult, he expressed interest and offered to meet me to discuss it further. I think the Minister present today will remember that, and I am interested to hear whether he and the new Business Secretary share the right hon. Gentleman’s interest.
Finally, the manifesto emphasises the fact that workers’ participation can be achieved only if workers understand the processes and technologies at work. In environments in which decisions are increasingly dictated by machines, people need to know, more than ever, what data is being held on them and how it is used.
I am aware that time is short and I look forward to hearing other hon. Members’ contributions. I will conclude my remarks by saying that on 17 May I will introduce a ten-minute Rule Bill that builds on the TUC’s important work and which I hope will bring us a bit closer to the rights-based approach I am advocating and which we urgently need. I ask any colleagues interested in supporting that Bill to speak to me after this debate.
The hon. Gentleman was right to say that this is like an industrial revolution. With industrial revolutions comes great change. People’s ways of living and working can be disrupted, and they are replaced by something new. We cannot yet say with certainty what that something new could be. There are concerns, which I will come to in a moment, about the regulation of AI. There could be amazing opportunities, too. One can imagine working or classroom environments where children could visit historical events. I asked someone who works in education development how long it could take before children studying the second world war could put on a headset, sit in a virtual House of Commons and watch Winston Churchill deliver one of his famous speeches, as if they were actually sitting there. We are talking about that sort of technology being possible within the next decade.
The applications for learning are immense. Astronauts who practise going to the international space station do so from metaverse-style, AI-driven virtual spaces, where they can train. At the same time as we think about the good things that it can do, we should also consider the fact that very bad spaces could be created. In our debates on the Online Safety Bill, we have been concerned about abusive online behaviour. What if such abusive behaviour took place in a video chatroom, a virtual space, that looks just as real as this room? Who would be responsible for that?
It is beholden on the companies that develop these new technologies and systems to have responsibility for the output of those systems. The onus should be on the companies to demonstrate that what they are developing is safe. That is why my right hon. Friend the Chancellor of the Exchequer was right to set out in the Budget statement last year that the Government would fund a new AI sandbox. We have seen AI sandboxes developed in the EU. In Washington state in the United States, AI sandboxes are used to research new facial recognition technologies, which is particularly sensitive. The onus should be on the developer. The role of the regulator should be to say, “There are certain guidelines you work within, and certain things we might consider unsafe or unethical. You develop your technologies and new systems and put them through a sandbox trial. You make it easy for the regulator to ask about the data you are drawing from, the decisions the system you have put in place is making, the outcomes it is creating and whether they are safe.”
We have already seen that learned behaviour through data can create unfair biases in systems. There was a case where Amazon used AI to sift through CVs for recruitment. The AI learned that it was largely men hired for the roles, and therefore discarded the CVs of women applying for the position because it assumed they would not be qualified. We should be concerned about biases built into data systems being exacerbated by AI.
Some people talk about AI as if it is a future technology—something coming—but it exists today. Every one of us experiences or interacts with AI in some way. The most obvious way for a lot of people is through the use of apps. The business model of social media apps is driven by recommendation, which is an AI-driven system. The system—Facebook, TikTok, Instagram or whatever it is—is data profiling the user and recommending content to keep them engaged, based on data, and it is AI driving those recommendation tools.
We have to be concerned about whether those systems create unfair practices and behaviours in the workplace. That is why the hon. Member for Birkenhead is right to raise this issue. If a gig economy worker—a taxi driver or a delivery courier—is paid only when they are in receipt of jobs on the app, does the app create a false incentive for them to be available for work all the time? Do they have to commit to being available to the app for most of the day, because if they do not it drives the work to people who have high recommendation scores because they are always available? Do people who cannot make themselves available all the time find that the amount they can earn is much less, if they do not get paid for waiting time when they use such apps? If that becomes the principal way in which a lot of tasks are driven, AI systems, which are built to be efficient and make it easy for people to access the labour market, could create biases that favour some workers over others. People with other jobs or family commitment, in particular, might not be able to make themselves available.
We should consider not just the way the technology works but the rights that citizens and workers have if their job is based on using those apps. The employer—the app developer—should treat the people who work for them as employees, rather than as just freelance agency workers who happen to be available at any particular time of the day. They have some sort of working relationship that should be honoured and respected.
The basic principle that we should apply when we think about the future of AI and its enormous potential to create growth and new jobs, and build fantastic new businesses, is that the rights that people enjoy today—their rights as citizens and employees—should be translated into the future world of technology. A worker should not lose their working rights simply because their relationship with their employer or their customer is through an app, and because that experience is shaped by the collection and processing of data. Ultimately, someone is doing that processing, and someone has created that system in order to make money from it. The people doing that need to be responsible for the technology they have created.
Now imagine that AI can pretend to be somebody we know—a family member, for instance—and imitate their voice. It could call up and say, “I need some money now, because I am in trouble,” or, “I need some support.” Or it could say, “This is somebody from the Government; your tax affairs are an issue—send your details now.” There are a whole load of things going on in society that we will not know about until it is too late. That is why a Turing clause is absolutely essential, so that we are ahead of the curve on deception, deepfakes and areas where technology will be used to fool.
One incredibly important area in relation to the labour market that is not often talked about is the role of AI in creativity. DALL-E 2 is one of the tools, and there are many others popping up now. They can create artwork and videos almost at the speed of thought—typing in a particular phrase will create amazingly beautiful pictures—but they are pooling those from places where real artists and real musicians, with particular styles, have contributed. That is then presented as AI creativity. That could kill the graphic design industry. It could prevent people who are in the early stages of life as an artist, in both the visual and music worlds, from ever having an opportunity to be successful.
Just recently, Drake and the Weeknd—if I have those artists correct—had a song that was put online. I think that it even went on Spotify, but it was definitely on some streaming services. Everybody thought, “Gosh, this is a fantastic new collaboration.” It was not. It was AI pretending to be both of those artists with a brand new song. Artificial intelligence had created it. It was not until after the fact, and after the song had been streamed hundreds of thousands of times, that the big music companies said, “Hang on—that isn’t real. We need to stop this.” Then it was stopped.
In the case of social media, it took us many years to get to the fantastic Online Safety Bill. I was very fortunate to be on the Draft Online Safety Bill Joint Committee. Its Chair, my hon. Friend the Member for Folkestone and Hythe (Damian Collins), is in the room today, and he did a fabulous job. Getting to that point took 10 or 15 years. We do not have 10 or 15 months to legislate on AI. We probably do not have 10 or 15 weeks, given where we will be in a matter of days, with the new announcements and tools that are coming out.
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.
Our fear of disruptive technologies is age-old. Although it is true to say that generally what we have seen from that disruption is the creation of new jobs and the ability to allow new technologies to take on more laborious and repetitive tasks, it is still extremely disruptive. Some 60% of workers are currently in occupations that did not exist in 1940, but there is still a real danger, as there has been with other technologies, that AI depresses wages and displaces people faster than any new jobs can be created. That ought to be of real concern to us.
In terms of ethical considerations, there are large questions to be asked about the provenance of datasets and the output to which they can lead. As The Guardian reported recently:
“The…datasets used to train the latest generation of these AI systems, like those behind ChatGPT and Stable Diffusion, are likely to contain billions of images scraped from the internet, millions of pirated ebooks”
as well as all sorts of content created by others, who do not get reward for its use; the entire proceedings of 16 years of the European Parliament; or even the entirety of the proceedings that have ever taken place, and been recorded and digitised, in this place. The datasets can be drawn from a range of sources and they do not necessarily lead to balanced outputs.
ChatGPT has been banned from operating in Italy after the data protection regulator there expressed concerns that there was no legal basis to justify the collection and mass storage of the personal data needed to train GPT AI. Earlier this month, the Canadian privacy commissioner followed, with an investigation into OpenAI in response to a complaint that alleged that the collection, use and disclosure of personal information was happening without consent.
This technology brings huge ethical issues not just in the workplace but right across society, but questions need to be asked particularly when it comes to the workplace. For example, does it entrench existing inequalities? Does it create new inequalities? Does it treat people fairly? Does it respect the individual and their privacy? Is it used in a way that makes people more productive by helping them to be better at their jobs and work smarter, rather than simply forcing them—notionally, at least—to work harder? How can we be assured that at the end of it, a sentient, qualified, empowered person has proper oversight of the use to which the AI processes are being put? Finally, how can it be regulated as it needs to be—beneficially, in the interests of all?
The hon. Member for Birkenhead spoke about and distributed the TUC document “Dignity at work and the AI revolution”, which, from the short amount of time I have had to scrutinise it, looks like an excellent publication. There is certainly nothing in its recommendations that anyone should not be able to endorse when the time comes.
I conclude on a general point: as processes get smarter, we collectively need to make sure that, as a species, we do not consequentially get dumber. Advances in artificial intelligence and information processing do not take away the need for people to be able to process, understand, analyse and critically evaluate information for themselves.