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1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.

1.31.Regulation can increase innovation by giving businesses the incentive to solve important problems while addressing the risk of harm to citizens.For example,product safety legislation has increased innovation towards safer products and services.68 In the case of AI,a contextbased,proportionate approach to regulation will help strengthen public trust and increase AI adoption.692.32.The National AI Strategy set out our aim to regulate AI effectively and support innovation.70 In line with the principles set out in the Plan for Digital Regulation,71 our approach to AI regulation will be proportionate;balancing real risks against the opportunities and benefits that AI can generate.We will maintain an effective balance as we implement the framework by focusing on the context and outcomes of AI.3.33.Our policy paper proposed a pro-innovation framework designed to give consumers the confidence to use AI products and services,and provide businesses the clarity they need to invest in AI and innovate responsibly.72 This approach was broadly welcomed–particularly by industry.Based on feedback,we have distilled our aims into three objectives that our framework is designed to achieve:o Drive growth and prosperity by making responsible innovation easier and reducing regulatory uncertainty.This will encourage investment in AI and support its adoption throughout the economy,creating jobs and helping us to do them more efficiently.To achieve this objective we must act quickly to remove existing barriers to innovation and prevent the emergence of new ones.This will allow AI companies to capitalise on early development successes and achieve long term market advantage.73 By acting now,we can give UK innovators a headstart in the global race to convert the potential of AI into long term advantages for the UK,maximising the economic and social value of these technologies and strengthening our current position as a world leader in AI.7468 The impact of regulation on innovation,Nesta,2012.

Indeed,the pace of change itself can be unsettling.Some fear a future in which AI replaces or displaces jobs,for example.Our white paper and our vision for a future AI-enabled country is one in which our ways of working are complemented by AI rather than disrupted by it.In the modern world,too much of our professional lives are taken up by monotonous tasks–inputting data,filling out paperwork,scanning through documents for one piece of information and so on.AI in the workplace has the potential to free us up from these tasks,allowing us to spend more time doing the things we trained for–teachers with more time to teach,clinicians with more time to spend with patients,police officers with more time on the beat rather than behind a desk–the list goes on.Indeed,since AI is already in our day-to-day lives,there are numerous examples that can help to illustrate the real,tangible benefits that AI can bring once any risks are mitigated.Streaming services already use advanced AI to recommend TV shows and films to us.Our satnav uses AI to plot the fastest routes for our journeys,or helps us avoid traffic by intelligently predicting where congestion will be on our journey.And of course,almost all of us carry a smartphone in our pockets that uses advanced AI in all sorts of ways.These common devices all carried risks at one time or another,but today they benefit us enormously.That is why our white paper details how we intend to support innovation while providing a framework to ensure risks are identified and addressed.However,a heavy-handed and rigid approach can stifle innovation and slow AI adoption.That is why we set out a proportionate and pro-innovation regulatory framework.Rather than target specific technologies,it focuses on the context in which AI is deployed.This enables us to take a balanced approach to weighing up the benefits versus the potential risks.