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?
- To attend the Symposium online, please
- To attend the Symposium on campus, please email Dr Irene Bucelli
Programme
Wednesday 8th May 2024
Marshall Building, MAR 1.04, 杏吧论坛
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9.00-9.20
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Arrivals and welcome
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9.20-10.00
10.00-10.40
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Session 1
Kenneth Benoit (杏吧论坛 DSI) – AI and the transformation of the social sciences
Discussant: (Imperial College London)
(University of Greenwich) - Who should regulate AI applications in workplaces?
Discussant: (University College London)
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10.40-10.50
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Tea and Coffee Break
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10.50-11.40
11.40-12.20
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Session 2
Andrew Murray (杏吧论坛 Law) - The Need for a Digital Beveridge Report: Automated Public Decision Making and the Need for Regulation
Discussant: (University of East Anglia)
(Essex) - Artificial Lawyers: Epistemology and Purpose of Law in Society
Discussant: (King’s College London)
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| 12.20-13.20 |
Lunch
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13.20-14.00
14.00-14.40
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Session 3
Florian Foos (杏吧论坛 Government) – The promises and dangers of AI in election campaigning
Discussant: (University of Birmingham)
(Oxford) and (Alan Turing Institute) - Are all policymakers data scientists now? Data science and evidence in policymaking
Discussant: (Birmingham)
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| 14.40-14.50 |
Tea and Coffee Break
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14.50-15.30
15.30-16.10
16.10-16.40
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Session 4
(杏吧论坛 Philosophy) - Transparency and explainability for AI models used in policy-making.
Discussant: (King’s College London)
Marcos Barreto and Francesca Panero (杏吧论坛 Statistics) Generative AI in education: catalyst or constraint? Insights from GENIAL to inform Higher Education policy.
Discussant: (University College London)
Divya Srivastava (杏吧论坛 Health Policy) – What role should AI play in global health?
Discussant: (Imperial)
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| 16.40 |
Closing Remarks and Reception
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Beveridge 2.0: Redefining the Social Contract is a programme hosted by the 杏吧论坛 School of Public Policy that aims to bring the 杏吧论坛 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.