Validate AI Conference 2019

Tuesday 5 November 2019
08.30 - 17.00

Royal Society
6-9 Carlton Terrace, London SW1Y 5AG



Artificial intelligence (AI) is critical to UK and global economic growth. Algorithms and AI are now deeply imbedded in decision-making in banking, health, taxation, the environment, agriculture, security and defence to name but a few. We need a more robust debate about measuring if solutions are fit for purpose, safe, reliable, timely and trustworthy. We need to validate AI.

This conference presents you with not only case study-based challenges but also examines tools and methods to help you find the solutions you need.


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Validate AI website

Conference Proposers:

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Prof David Hand, Department of Mathematics, Imperial College London

David serves on the board of the UK Statistics Authority and the European Stats Advisory Committee. His 29 books include Principles of Data Mining, Measurement Theory and Practice, The Improbability Principle, Information Generation and Intelligent Data Analysis.


Prof Marta Kwiatkowska, Department of Computer Science, University of Oxford

Fellow of Trinity College Oxford, Marta has made fundamental contributions to the theory and practice of model checking for probabilistic systems and, more recently, has been working on safety and robustness verification for neural networks with provable guarantees.


Shakeel Kahn, HMRC

Shakeel’s role at HMRC as Artificial Intelligence Capability Building Lead places him as a great advocate for AI-supported capability-building in HMRC, and allows him to share expertise across government departments and tax administrations.


Dr Tony Bellotti, Department of Mathematics, Imperial College London

Tony is a conference senior lecturer in statistics and has taught credit scoring and quantitative methods in retail finance since 2010. His main expertise is in the application of statistical models and machine learning to consumer credit risk.


Dr Zeynep Engin, Department of Computer Science, University College London 

Zeynep is a Senior Research Associate at UCL Computer Science. She is also the Founder and Chair of the international Data for Policy conferences ( and the Principal Investigator for both the GovTech Lab knowledge transfer consortium ( and the UCL Digital Ethics Forum. She leads the computer science contributions to Urban Dynamics Lab (UCL), an EPSRC Digital Economy Hub. 


Professor Yike Guo (郭毅可), Director of Data Science Institute, Imperial College London

Yike Guo is the Founding Director of Data Science Institute, Imperial College London, and the Dean of School of Computer Science, Shanghai University, China. He is the Chief Strategist in Data Economy at Shanghai Industrial Technology Institute and was named as one of the 10 most influential data scientists in China by China’s National Information Centre in 2017.


Tom Smith, Data Science Campus Managing Director, Office for National Statistics

Tom is Managing Director at the Data Science Campus, joining the Office for National Statistics (ONS) in 2017. He was co-founder and, prior to joining ONS, chief executive of Oxford Consultants for Social Inclusion (OCSI), a research and data ‘spin-out’ company from the University of Oxford.

Royal Society building