Beveridge 2.0: AI and Data Science for Public Policy Symposium

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In a world increasingly shaped by digital transformation, AI and data science present new opportunities to change policymaking in nearly all areas of policy. Yet the capabilities of these emerging technologies are still unfolding and need to be better understood, both in terms of their benefits and their limitations. The Data Science Institute and the Beveridge 2.0 Programme collaborate in this symposium bringing together experts from a range of disciplines - from philosophy to statistics, government and law - to reflect together on future directions, applications, and consequences of the use of AI and data science. Emerging technologies can transform evidence-based policy development through their analytical capabilities, predictive powers, and real-time monitoring, while also bringing questions around regulation, transparency, accountability and ethics to the fore.

How to attend?

Wednesday 8th May 2024 
Marshall Building, MAR 1.04, LSE  


Arrivals and welcome  






 Session 1 

Kenneth Benoit (LSE DSI) – AI and the transformation of the social sciences 
Discussant: Mark Kennedy (Imperial College London) 


Thomas Ferretti (University of Greenwich) - Who should regulate AI applications in workplaces? 
Discussant: Jolene Skordis (University College London)


 Tea and Coffee Break 




Session 2 

Andrew Murray (LSE Law) - The Need for a Digital Beveridge Report: Automated Public Decision Making and the Need for Regulation 
Discussant: Paul Bernal (University of East Anglia) 

Giulia Gentile (Essex) - Artificial Lawyers: Epistemology and Purpose of Law in Society  
Discussant: Eden Sarid (King’s College London) 







 Session 3 


Florian Foos (LSE Government) – The promises and dangers of AI in election campaigning 
Discussant: Rene Lindstaedt (University of Birmingham) 

Helen Margetts (Oxford) and Omar Guerrero (Alan Turing Institute) - Are all policymakers data scientists now? Data science and evidence in policymaking 
Discussant: Slava Jankin (Birmingham) 


 Tea and Coffee Break





Session 4 

 Kate Vredenburgh (LSE Philosophy) - Transparency and explainability for AI models used in policy-making.
Discussant: David Watson (King’s College London)


Marcos Barreto and Francesca Panero (LSE Statistics) Generative AI in education: catalyst or constraint? Insights from GENIAL to inform Higher Education policy.
Discussant: Mutlu Cukurova (University College London) 

Divya Srivastava (LSE Health Policy) – What role should AI play in global health? 
Discussant: Saira Ghafur (Imperial) 


 Closing Remarks and Reception 

Beveridge 2.0: Redefining the Social Contract is a programme hosted by the LSE School of Public Policy that aims to bring the LSE community together with the intent of exploring important policy questions, fostering dialogue across disciplines and identifying avenues for collaborative cross-disciplinary research.  

The Data Science Institute (DSI) is an interdisciplinary institute established to foster the study of data science and new forms of data with a focus on their social, economic and political aspects.

The School of Public Policy is an international community where ideas and practice meet. Our approach creates professionals with the ability to analyse, understand and resolve the challenges of contemporary governance.