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Centre for AI Measurement official launch

Join us for the official launch of the Centre for AI Measurement.

Building confidence in AI through robust Measurement

Join us for the official launch of the Centre for AI Measurement, a new UK initiative that will strengthen the scientific foundations for trustworthy AI.

Led by the National Physical Laboratory (NPL), the Centre will develop and apply measurement science to improve how AI systems are tested, evaluated, validated, verified and monitored. Its work will help establish more robust, repeatable and comparable approaches to assessing AI performance and behaviour, including methods for defining what is being measured, quantifying uncertainty and generating reliable evidence about how systems perform in practice.

Due to high demand and limited venue capacity, the Centre for AI Measurement launch event is now fully booked.

You can still express your interest to join the waitlist and receive updates on the Centre’s work, future events and opportunities to get involved. Please note that expressing interest does not guarantee an invitation to the event.

10 November

12:00-17:00 followed by an evening reception


Event

IQST, National Physical Laboratory (NPL), Hampton Road, Teddington, TW11 0LW

Express your interest

The Centre will work across research, industry, government, standards, and assurance communities to strengthen the UK’s AI testing and assurance ecosystem.

Its programme will span three core areas:

  • advancing the measurement science foundations for AI testing and evaluation;
  • supporting industry to develop, test and apply robust and novel assurance approaches in real-world contexts; and
  • improving coordination, knowledge-sharing and capability across the wider ecosystem.

The launch event will introduce the Centre’s mission, scope and initial programme of work. Attendees will also learn how organisations can engage with the Centre through collaboration, research activities, participation in its wider network, and future funding and support opportunities.

The event will bring together leaders and practitioners from across industry, research, government and the AI assurance community to explore robust measurement can help build confidence in the development and deployment of AI.

Speakers

Dame Wendy Hall

Dame Wendy Hall

NPL Strategic Advisor for AI

Dame Wendy Hall, DBE, FRS, FREng, is Regius Professor of Computer Science, Associate Vice President (International Engagement) and Director of the Web Science Institute at the University of Southampton.

She became a Dame Commander of the British Empire in the 2009 UK New Year’s Honours List and is a Fellow of the Royal Society, the Royal Academy of Engineering and the ACM. She is a Distinguished Fellow of the BCS.

Dame Wendy was co-chair of the UK Government’s AI Review, published in October 2017, and was a member of the AI Council. She is currently co-chair of the ACM Publications Board and advises the UK Government, other governments, and various companies around the world. In 2023 she was appointed to the United Nations High-Level Advisory Body on Artificial Intelligence. Her new book, AI Explained: A Guide for Non-Technical Readers, co-authored with Pete Rai, was published by Wiley in September 2026.



Christopher Burr

Christopher Burr

Dr Christopher Burr is a Principal Research Scientist at the Alan Turing Institute, where he leads the Trustworthy and Assured AI theme. The theme studies how to build AI systems for critical infrastructure out of bounded, measurable parts, and how to keep the claims made for them demonstrably true while the system runs. To support the UK's AI assurance ecosystem, the theme is building an open and collaborative proving ground, where developers, operators, regulators, and researchers can test AI systems against outcomes they can measure. The first instance of this is in air traffic control, through the DARTER project, for which Chris is principal investigator. He also founded the Trustworthy and Ethical Assurance (TEA) platform — open-source software for building and sharing assurance cases. His background is in philosophy, cognitive science and decision theory.



Catherine Page

Catherine Page

Catherine Page OBE is a Deputy Director in the UK Government’s Department for Business, Innovation, Science & Trade (BIST) where she leads on policy covering the adoption of Artificial Intelligence (AI) across the economy and the growth of the UK AI sector. Catherine was previously responsible for Advanced Connectivity Technologies in the Department for Science, Innovation & Technology. Prior to this she held roles across the Civil Service, including in the Cabinet Office on AI, as a Deputy to the Ambassador in the British Embassy in Ireland, and as the Prime Minister’s Private Secretary covering European affairs.



Adam Leon Smith

Adam Leon Smith

Adam Leon Smith is an AI regulatory and technical expert specialising in EU AI Act compliance and risk management for complex AI systems. He is also Chair of the AIQI Consortium, a global initiative to promote the use of quality infrastructure for responsible AI, and Deputy Chair of the UK’s national AI standards committee. He has led many AI standardisation projects in ISO/IEC SC 42 and CEN-CENELEC JTC 21 supporting the AI Act and the generally acknowledged state of the art, including the Article 17 Quality Management System.

Before his involvement in AI regulation, Adam spent 20 years in senior technology roles, delivering verification and validation solutions for highly complex or high-risk industry challenges. In 2024, the University of Bath awarded Adam an honorary doctorate in recognition of his work and its impact on the profession. Adam is also CEO of Trustora Digital, supporting AI providers with EU AI Act compliance, with a focus on practical documentation, assurance, and interaction with EU regulators.



Nandini Chakravorti

Nandini Chakravorti

With over 25 years’ experience, Nandini focuses on accelerating the adoption of innovative digital technologies within UK industry and supply chains. Her expertise spans a diverse range of technologies such as AI, systems engineering, industrial connectivity and data sciences. Nandini’s work helps organisations use emerging technology to maximise their impact, improve efficiency and boost productivity. In the past, Nandini has worked with organisations like Samsung, Motorola and Tata. Nandini also chairs the Digital Manufacturing technical forum across the High Value Manufacturing Catapult network.



Emily Campbell-Ratcliffe

Emily Campbell-Ratcliffe

Emily is Director of AI Assurance at Frontier Economics, where she is leading work on the economics, adoption, and governance of Artificial Intelligence. Her team’s work combines rigorous economics with deep practical experience of AI adoption, governance and policy. Emily previously worked for the UK Government’s Department for Science, Innovation and Technology, where she has held senior roles leading work on AI assurance, AI adoption and skills and, most recently, AI for local growth. She has played a leading role in developing the UK’s approach to the responsible adoption and assurance of AI, working across government, industry and the wider AI ecosystem. 

Emily previously represented the UK at the OECD’s Working Party on AI Governance and continues to contribute to the OECD.AI network of experts, including their Expert Group on AI Risk & Accountability. She sits on several advisory boards, including for Bridging Responsible AI Divides (BRAID), a major collaboration between Innovate UK, the Ada Lovelace Institute and the BBC. Outside of her roles she has published work on the responsible publication of AI research, and how to manage its risks.



Chris Barnes

Chris Barnes

Chris Barnes is Head of Science for AI at the National Physical Laboratory (NPL), where he leads strategic research into trustworthy AI, AI for science and AI assurance. His work supports the development of reliable, transparent, and fit-for-purpose AI systems, particularly in critical sectors such as healthcare and autonomy. He also holds a professorship in Systems and Synthetic Biology at University College London (UCL), where his academic research focuses on AI, computational modelling and engineering biology.



Ana Alania

Ana Alania

Ana Alania is an AI Programme Manager at the National Physical Laboratory (NPL), where she leads the strategic development and delivery of NPL's AI portfolio. Her work focuses on strengthening confidence in AI through robust measurement, testing and evaluation, and the development of international standards. Before joining NPL, Ana was a Research Manager at the Alan Turing Institute's public policy programme, working at the intersection of AI governance, standards and regulatory innovation.



Paul Duncan

Paul Duncan

Dr Paul Duncan is a Principal Scientist at the UK’s National Physical Laboratory (NPL), where he leads the Informatics group within the Data Science & AI department. With a background in data modelling and uncertainty evaluation, his work focuses on developing data quality frameworks and methodologies for understanding uncertainty in complex, interconnected systems. Dr Duncan is the Technical Lead (2022-present) for NPL’s involvement in the AI Standards Hub, where he plays a key role in shaping national and international approaches to Trustworthy AI and related standards. Dr Duncan is currently the co-chair of the BIPM Task Group on Data Quality & FAIR Practices in Metrology which aims to standardise approaches to data quality across the world of metrology. His current research explores how metrology can underpin the development of reliable, transparent, and accountable AI systems. He is actively involved in cross-disciplinary projects that span data science, semantic technologies, and AI governance, and frequently collaborates with government, academia, and industry to advance confidence in the use of AI.



James Adams

James Adams

James Adams is a Principal Scientist at NPL where he is developing work on Biometrics, which supports policing in their use of facial recognition systems through testing and reporting demographic performance variation. He joined NPL from the Alan Turing Institute where he was part of the finance and economics programme, working on counterfactual generation for fraud detection algorithms, and private data release. He has worked in industry and academia including a fellowship from the Royal Commission for the Exhibition of 1851, and a lecturer in the Physics Department at the University of Surrey.



Elizabeth Seger

Elizabeth Seger

Dr Elizabeth Seger is a Senior Policy Advisor at the Tony Blair Institute for Global Change where she directs the Institute’s global AI governance programme. Her focus spans democratic resilience, cybersecurity and open-source policy, ensuring governance frameworks both facilitate technological progress and safeguard public interests. Her team’s current primary focus is on national AI assurance ecosystems development, strengthening how AI assurance tools, standards, processes, and institutions can support trustworthy adoption in high-stakes contexts domestically and through international coordination. Previously, Elizabeth was Director of Digital Policy at Demos where she founded the Epistemic Security Network and a research fellow at GovAI where she published agenda-setting research on open-source AI safety. Elizabeth holds a PhD in Philosophy of Science and Technology from the University of Cambridge and maintains active affiliations with GovAI and the AI Future and Responsibility Project (AI:FAR) in Cambridge.



Oliver Jones

Oliver Jones

Oliver Jones is Deputy Director at the UK AI Security Institute (AISI). Previously he was Private Secretary to two Prime Ministers, working on economic, tech and AI policy, including AI Summits and the establishment of the AISI, following economic policy roles in the Treasury.



Sue Daley

Sue Daley

Sue Daley OBE leads techUK's Tech and Innovation programme, covering AI, data, cloud, quantum technologies, semiconductors, digital identity and innovation policy. Recognised with an OBE for services to the technology industry, Sue is a leading voice in UK technology and innovation, serving on several government and industry advisory groups, including the Women in Tech Taskforce, Smart Data Council and the Bank of England's AI Consortium. A regular speaker on AI, data and digital ethics, Sue brings extensive experience spanning industry, government relations and technology policy.



Chris Jefferson

Chris Jefferson

Chris Jefferson is the Co-Founder and Chief Technology Officer at Advai, a London-based AI safety and security company founded in 2020. Leading the firm's technical vision, he specialises in AI robustness, adversarial resilience, and model assurance, with a focus on scaling evaluation and assurance technologies. Operating across both enterprise and defence sectors, he regularly contributes to the technical dialogue shaping responsible AI standards, regulatory considerations and trustworthy deployment in the UK and internationally.



Stacie Hoffmann

Stacie Hoffmann

Stacie is Head of the Centre for AI Measurement, Head of Strategic Growth and Head of Department for Data Science and AI at the National Physical Laboratory (NPL). She leads strategic development of NPL’s capabilities to deliver confidence in data and AI through robust measurement. With over a decade of experience, she is an internationally recognised expert on technology governance, specialising in the technical standardisation of emerging technologies.

Prior to joining NPL, Stacie was Head of Digital Standards at the UK’s Department for Science, Innovation and Technology where she led strategy, policy, and international engagement, and oversaw the UK AI Standards Hub. Previously she was a consultant for governments and industry on digital policy and cyber security. An accomplished author, public speaker, and news commentator, she has provided evidence to UK Select Committees, the US House of Representatives, the United Nations and NATO. She holds a Masters in Media Governance (Internet Governance) from the London School of Economics and a Bachelors in Communication and International Studies from the University of California, San Diego.



Peter Thompson

Peter Thompson

Dr Peter Thompson is CEO of the National Physical Laboratory (NPL), the UK’s National Metrology Institute (NMI), which operates across science, innovation and technology. 

In 2015 Peter joined NPL as CEO and has overseen development and growth aligned to some of the UK’s major national challenges and opportunities. This has included providing strategic leadership and oversight of NPL-led programmes, including the Cancer Research UK Rosetta Cancer Grand Challenge, the National Timing Centre (NTC) programme, the Quantum programme, the Measurement for Recovery (M4R) programme, and the UK Telecoms Lab (UKTL).

Peter is Senior Independent Director and a Non-Executive Director of the High Value Manufacturing (HVM) Catapult, a Trustee of the Institute of Physics, and a Visiting Professor at the University of Surrey.

Peter was awarded a CBE in the 2025 New Year Honours List in recognition of his services to science and technology.

For outstanding leadership of the National Physical Laboratory and the sustained impact of metrology on UK prosperity and quality of life, Peter was awarded the Institute of Physics 2022 Richard Glazebrook medal and award.

Peter brings a passion for diversity and inclusion in science and engineering and a focus on maximising impact for end users. His previous roles include strategic advisor to MOD’s Chief Scientific Adviser, Board Member and Deputy Chief Executive of the Defence Science and Technology Laboratory (Dstl) and Head of the Counter-Terrorism, Science and Technology Centre.

He is the recipient of two MOD Chief Scientific Advisor commendations and the US National Intelligence Meritorious Unit Citation (NIMUC) award.



Lucy Caffery

Lucy Caffery

Lucy Caffery is NPL’s Chief Customer Officer, leading the organisation’s enterprise-wide customer strategy and ensuring that NPL’s world-leading science delivers maximum value and impact for customers, industry and society.

Lucy has more than 25 years’ experience across science, technology and innovation-led organisations in both the public and private sectors, delivering customer-focused growth and translating complex scientific and technical capabilities into real-world solutions. She combines deep commercial expertise with a passion for helping organisations maximise the impact of innovation. Since joining NPL in 2018, Lucy has held several senior leadership roles across the commercial business, supporting the translation and commercialisation of NPL’s cutting-edge science and strengthening the organisation’s customer focus.

Lucy spent a year on secondment to Government, where she played a leading role in the design and launch of the Government Office for Technology Transfer. On returning to NPL, she created our own award-winning technology transfer capability. Lucy also acts as a Board Observer for NPL’s spinout companies.

Before joining NPL, Lucy held leadership roles at Accenture, including leading the UK innovation programme focused on incubating new digital solutions through emerging technologies, innovation methodologies and rapid prototyping. Earlier in her career, she led software engineering teams at Symbian, delivering pioneering smartphone products to market.

Lucy began her career at the Defence Evaluation and Research Agency (DERA) and holds a First-Class Honours degree in Mathematics from the University of Leeds.

Known for her authentic and empathetic leadership style, Lucy is passionate about building high-performing, empowered teams where people thrive and achieve exceptional outcomes. She is dedicated to enabling scientists, engineers and innovators to maximise their impact and create lasting value for customers and society.

 

Event Agenda

TimeSession
12:00-13:00Lunch and registrations
13:00-13:10

Welcome remarks

Dr Pete Thompson, CEO, National Physical Laboratory

13:10-13:15

Video address

Kanishka Narayan MP, Minister for AI

13:15-13:30

UK Government keynote

Catherine Page, Deputy Director, Department of Business, Innovation, Science & Trade

13:30-13:50

Centre for AI Measurement: mission, scope and strategy

13:50-14:10

Lightning talks:

From frameworks to protocols: Bridging the AI measurement gap

James Adams, Principal Scientist, Data Analytics and Modelling Group, National Physical Laboratory

AI measurement protocols in action

Paul Duncan, Principal Scientist, Informatics Group, National Physical Laboratory

14:10-15:05

Panel discussion

Measurement science foundations for technical AI assurance

Chair:

Chris Barnes, Head of Science for AI, National Physical Laboratory

Panellists:

  • Chris Burr, Principal Research Scientist, The Alan Turing Institute
  • Adam Leon Smith, Chair, AIQI
  • Nandini Chakravorti, Director at Manufacturing Technology Centre (MTC) and Chair of High Value Manufacturing Catapult
  • Oliver Jones, Deputy Director for Strategy and International, AI Security Institute
15:05-15:35

Break

15:35-15:50

Fireside chat with Dame Wendy Hall

15:50-16:50

Panel discussion

Shared priorities for a connected, capable and trusted AI assurance ecosystem

Chair:

Ana Alania, AI Programme Manager, National Physical Laboratory

Panellists:

  • Chris Jefferson, Co-founder and CTO, Advai
  • Emily Campbell-Ratcliffe, Director, AI Assurance at Frontier Economics
  • Elizabeth Seger, Senior Policy Advisor, The Tony Blair Institute for Global Change
  • Sue Daley, Director, Technology & Innovation, techUK
16:50-17:00

Closing remarks

17:00-19:00

Evening reception