Synthetic data is artificially generated data designed to reflect the patterns and characteristics found in real world data. It is increasingly discussed as a potential tool for addressing long standing challenges around data access, privacy, and data sharing. Synthetic data can be generated using a range of techniques, including rule-based statistical methods and more complex AI models, and is often used for training and evaluating AI systems, testing software, and developing analytics tools.
Some proponents of synthetic data usage argue that, when properly designed, synthetic data can offer stronger privacy protections, which may lower barriers to data use and sharing particularly in highly regulated markets. Synthetic data can also mitigate data scarcity by creating larger or more diverse datasets, that include rare or edge-case data points that may not appear in sufficient volume in real-world data.
However, important questions remain. It is not always clear how closely synthetic data reflects real world conditions, whether it captures the complexity of real-world phenomena and data generation, and how much there is a risk it may repeat biases, gaps, or assumptions. If synthetic data is not carefully tested and validated, it may lead to poor quality insights. Ethical and governance questions also need careful attention, including how synthetic data is created, validated, and used responsibly.
This session will :
Explore both the opportunities and the limits of synthetic data
Look at emerging tools and providers
Discuss how synthetic data could promote data privacy
Illustrate where synthetic appears to offer clear value versus where it may introduce new risks
Consider these developments mean for the future of data access and AI use in UK businesses.
The format includes a dedicated Q&A segment so you can put your own questions to the experts.
For more information about the Data Vision Series, please contact the team below:
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi is the Head of AI and Data at techUK.
She holds over seven years of Government Affairs and Tech Policy experience in the US and UK. Kir previously headed up the regulatory portfolio at a UK advocacy group for tech startups and held various public affairs in US tech policy. All involved policy research and campaigns on competition, artificial intelligence, access to data, and pro-innovation regulation.
Kir has an MSc in International Public Policy from University College London and a BA in both Political Science (International Relations) and Economics from the University of California San Diego.
Outside of techUK, you are likely to find her attempting studies at art galleries, attempting an elusive headstand at yoga, mending and binding books, or chasing her dog Maya around South London's many parks.
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
He leads techUK’s AI Adoption programme, supporting members of all sizes and sectors in adopting AI at scale. His work involves identifying barriers to adoption, exploring solutions, and helping to unlock AI’s transformative potential, particularly its benefits for people, the economy, society, and the planet. He is also committed to advancing the UK’s AI sector and ensuring the UK remains a global leader in AI by working closely with techUK members, the UK Government, regulators, and devolved and local authorities.
Since joining techUK, Usman has delivered a regular drumbeat of activity to engage members and advance techUK's AI programme. This has included two campaign weeks, the creation of the AI Adoption Hub (now the AI Hub), the AI Leader's Event Series, the Putting AI into Action webinar series and the Industrial AI sprint campaign.
Before joining techUK, Usman worked as a policy, regulatory and government/public affairs professional in the advertising sector. He has also worked in sales, marketing, and FinTech.
Usman holds an MSc from the London School of Economics and Political Science (LSE), a GDL and LLB from BPP Law School, and a BA from Queen Mary University of London.
When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.
Join us for the next instalment of our AI Leader's Series on 28 April, focusing on Bio Intelligence. This event will explore how biological systems can inspire the next generation of AI, examining bio-intelligent systems that integrate biological and digital components to create hybrid architectures with unprecedented capabilities.
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On 6 March 2026, the Lords Communications and Digital Committee published the outcome of their inquiry into AI and copyright. The report discourages the Government from introducing a new TDM exception with an opt-out mechanism, advocates for statutory transparency requirements for on AI training data, and urges the Government to act against unauthorised digital replicas “in the style of” of creators’ work.
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Contact the team
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi is the Head of AI and Data at techUK.
She holds over seven years of Government Affairs and Tech Policy experience in the US and UK. Kir previously headed up the regulatory portfolio at a UK advocacy group for tech startups and held various public affairs in US tech policy. All involved policy research and campaigns on competition, artificial intelligence, access to data, and pro-innovation regulation.
Kir has an MSc in International Public Policy from University College London and a BA in both Political Science (International Relations) and Economics from the University of California San Diego.
Outside of techUK, you are likely to find her attempting studies at art galleries, attempting an elusive headstand at yoga, mending and binding books, or chasing her dog Maya around South London's many parks.
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
He leads techUK’s AI Adoption programme, supporting members of all sizes and sectors in adopting AI at scale. His work involves identifying barriers to adoption, exploring solutions, and helping to unlock AI’s transformative potential, particularly its benefits for people, the economy, society, and the planet. He is also committed to advancing the UK’s AI sector and ensuring the UK remains a global leader in AI by working closely with techUK members, the UK Government, regulators, and devolved and local authorities.
Since joining techUK, Usman has delivered a regular drumbeat of activity to engage members and advance techUK's AI programme. This has included two campaign weeks, the creation of the AI Adoption Hub (now the AI Hub), the AI Leader's Event Series, the Putting AI into Action webinar series and the Industrial AI sprint campaign.
Before joining techUK, Usman worked as a policy, regulatory and government/public affairs professional in the advertising sector. He has also worked in sales, marketing, and FinTech.
Usman holds an MSc from the London School of Economics and Political Science (LSE), a GDL and LLB from BPP Law School, and a BA from Queen Mary University of London.
When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.
Sue leads techUK's Technology and Innovation work. This includes work programmes on AI, Cloud, Data, Quantum, Semiconductors, Digital ID and Digital ethics as well as emerging and transformative technologies and innovation policy. In 2025, Sue was honoured with an Order of the British Empire (OBE) for services to the Technology Industry in the New Year Honours List. She has also been recognised as one of the most influential people in UK tech by Computer Weekly's UKtech50 Longlist and was inducted into the Computer Weekly Most Influential Women in UK Tech Hall of Fame.
A key influencer in driving forward the tech agenda in the UK, in December 2025 Sue was appointed to the UK Government’s Women in Tech Taskforce by the Technology Secretary of State. She also sits on the UK Government’s Smart Data Council, Satellite Applications Catapult Advisory Group, Bank of England’s AI Consortium and BSI’s Digital Strategic Advisory Group. Previously, Sue was a member of the Independent Future of Compute Review and co-chaired the National Data Strategy Forum. As well as being recognised in the UK's Big Data 100 and the Global Top 100 Data Visionaries in 2020, Sue has been shortlisted for the Milton Keynes Women Leaders Awards and has been a judge for the Loebner Prize in AI, the UK Tech 50 and annual UK Cloud Awards. She is a regular industry speaker on issues including AI ethics, data protection and cyber security.
Prior to joining techUK in January 2015, Sue was responsible for Symantec's Government Relations in the UK and Ireland. Before that, Sue was senior policy advisor at the Confederation of British Industry (CBI). Sue has an BA degree on History and American Studies from Leeds University and a Master’s Degree in International Relations and Diplomacy from the University of Birmingham. Sue is a keen sportswoman and in 2016 achieved a lifelong ambition to swim the English Channel.
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Senior Policy Adviser, Data and Digital Technologies at the Royal Society,
June is the Senior Policy Adviser on Data and Digital Technologies at the Royal Society, the UK’s national scientific academy, where she leads work related to data for scientific research, including privacy enhancing technologies, inclusive digital technologies, and AI ethics. She is an anthropologist and policy professional focussed on how data is used to inform decisions in science and policy, always through the lenses of representation and public value.
June has contributed to national and international policy initiatives with partners including the OECD, United Nations, UK government and regulatory bodies, the Chinese Academies of Sciences, and the US National Academy of Science. Her work has been cited in UK Parliament and featured in multilateral initiatives such as the UK–US PETs Prize Challeng