AI in the UK (Liaison Committee Report) Debate
Full Debate: Read Full DebateLord Bilimoria
Main Page: Lord Bilimoria (Crossbench - Life peer)Department Debates - View all Lord Bilimoria's debates with the Department for Digital, Culture, Media & Sport
(2 years, 6 months ago)
Grand CommitteeMy Lords, the report Growing the Artificial Intelligence Industry in the UK was published in October 2017. It started off by saying:
“We have a choice. The UK could stay among the world leaders in AI in the future, or allow other countries to dominate.”
It went on to say that the increased use of AI could
“bring major social and economic benefits to the UK. With AI, computers can analyse and learn from information at higher accuracy and speed than humans can. AI offers massive gains in efficiency and performance to most or all industry sectors, from drug discovery to logistics. AI is software that can be integrated into existing processes, improving them, scaling them, and reducing their costs, by making or suggesting more accurate decisions through better use of information.”
It estimated at that time that AI could add £630 billion to the UK economy by 2035.
Even at that stage, the UK had an exceptional record in key AI research. We should be proud of that, but it also highlighted the importance of inward investment. We as a country need to be continually attractive to inward investment and be a magnet for it. We have traditionally between the second or third-largest recipient of inward investment. But will that continue to be the case when we have, for example, the highest tax burden in 71 years?
AI of course has great potential for increasing productivity; it helps our firms and people use resources more efficiently and it can help familiar tasks to be done in a more efficient manner. It enables entirely new business models and new approaches to old problems. It can help companies and individual employees be more productive. We all know its benefits. It can reduce the burden of searching large datasets. I could give the Committee example after example of how artificial intelligence can complement or exceed our abilities, of course taking into account what the right reverend Prelate the Bishop of Oxford so sensibly just said. It can work alongside us and even teach us. It creates new opportunities for creativity and innovation and shows us new ways to think.
In the Liaison Committee report on artificial intelligence policy in the UK, which is terrific, the Government state that artificial intelligence has
“huge potential to rewrite the rules of entire industries, drive substantial economic growth and transform all areas of life”
and that their ambition is for the UK to be an “AI superpower” that leads the world in innovation and development. The committee was first appointed in 2017. At that stage, it mentioned that the number of visas for people with valuable skills in AI-related areas should be increased. Now that we have the points-based system, will the Minister say whether it is delivering what the committee sought five years ago?
That was in February 2020, from the noble Lord, Lord Clement-Jones, whom I congratulate on leading this debate and on his excellent opening speech. What policies have the Government recently announced? There is the National AI Strategy. One of the points I noticed is that the Office for Artificial Intelligence is a joint department of the Department for Business, Energy and Industrial Strategy and the Department for Digital, Culture, Media and Sport, responsible for overseeing the implementation of the national AI strategy. This is a question I am asked quite regularly: why in today’s world does digital sit within DCMS and not BEIS? They are doing this together, so maybe this is a solution for digital overall moving forward. I do not know what the Minister’s or the Government’s view on that is.
The CBI, of which I am president, responded to the UK Government’s AI strategy. I shall quote Susannah Odell, the CBI’s head of digital policy:
“This AI strategy is a crucial step in keeping the UK a leader in emerging technologies and driving business investment across the economy. From trade to climate, AI brings unprecedented opportunities for increased growth and productivity. It’s also positive to see the government joining up the innovation landscape to make it more than the sum of its parts … With AI increasingly being incorporated into our workplaces and daily lives, it’s essential to build public trust in the technology. Proportionate and joined-up regulation will be a core element to this and firms look forward to engaging with the government’s continued work in this area. Businesses hope to see the AI strategy provide the long-term direction and fuel to reach the government’s AI ambitions.”
An important point to note is that linked to this is our investment in research and development and innovation. This is a point that I make like a stuck record. We spend 1.7% of GDP on R&D and innovation, compared with countries such as Germany and the United States of America, which spend 3.1% and 3.2%. If we spend just one extra percent of GDP on research and development and innovation, an extra £20 billion a year, just imagine how much that would power ahead our productivity and AI ability. Do the Government agree?
We have heard that the White Paper on AI governance has been delayed. Can the Minister give us any indication of when it will be published? Business has recognised the importance of AI governance and standards in driving the safe and trustworthy adoption of AI, which is complicated by the variety of AI technologies that we have heard about in this debate. Use cases and government mechanisms, such as standards, can help simplify and guide widespread adoption. What businesses need from AI standards differs by sector. To be effective, AI standards must be accessible, sector-specific and focused on use cases, and the AI standards hub has a critical role in delivering and developing AI standards across the economy.
The report AI Activity in UK Businesses was published on 12 January this year and had some excellent insights. It defined AI based on five technology categories: machine learning, natural language processing and generation, computer vision and image processing/generation, data management and analysis, and hardware. The report says:
“Current usage of AI technologies is limited to a minority of businesses, however it is more prevalent in certain sectors and larger businesses”.
For example,
“Around 15% of all businesses have adopted at least one AI technology … Around 2% of businesses are currently piloting AI and 10% plan to adopt at least one AI technology in the future … As businesses grow, they are more likely to adopt AI”.
Linked to this is the crucial importance of start-ups and scale-ups, growing companies and our economy:
“68% of large companies, 34% of medium sized companies and 15% of small companies have adopted at least one AI technology”.
It is used in the IT and telecommunications sector, the legal sector—it is used across all sectors. Large companies are more likely to adopt multiple AI technologies and there are innovative companies using multiple AI technologies as well.
Tech Nation had an event, “The UK and Artificial Intelligence: What’s Next?”, in which there were some useful insights. For example, Zara Nanu, the CEO of Applied AI 1.0, talked about gender diversity in AI and how important it is that you have more women. Just 10% of those working in the talent pool are women; for STEM it is 24%. As president of the CBI, I have launched Change the Race Ratio to promote ethnic minority participation across all business, including in AI. Sarah Drinkwater made the point that the UK is well positioned to continue attracting talent on the strength of its investment landscape, world-class universities and culture. We are so lucky to have the best universities in the world, along with the United States of America. I am biased, but the fact is that a British university has won more Nobel prizes than any other, including any American university, and that is the University of Cambridge. It was of course excellent that the Government announced £23 million to boost skills and diversity in AI jobs by creating 2,000 scholarships in AI and data science in England. This is fantastic, music to my ears.
To conclude, I go back to the 2017 report Growing the Artificial Intelligence Industry in the UK. It asked, “Why does AI matter?” and said that:
“In one estimate, the worldwide market for AI solutions could be worth more than £30bn by 2024, boosting productivity by up to 30% in some industries, and generating savings of up to 25%. In another estimate, ‘AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption-side effects.’”
This is phenomenal, huge, powerful and world-changing. However, it will happen only if we have sustained collaboration between government, universities and business; then we will continue to deliver the amazing potential of AI in the future.