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.
This event marks the publication of the most recent issue of the LSE Public Policy Review, which brings together contributions 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 in public policies. Join our panellists as they discuss how 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.
Meet our speakers and chair
Helen Margetts (@HelenMargetts) is Professor of Society and the Internet at the University of Oxford and the Programme Director for Public Policy at The Alan Turing Institute for Data Science and Artificial Intelligence.
Andrew Murray is Professor of Law at LSE and a Fellow of the Royal Society of Arts (FRSA). He is the Academic Director of LSE’s Law, Technology and Society research group and is Academic Director of LSE Online. He has been since 2014 a visiting Professor at the Amsterdam Law and Technology Institute and was in Spring 2015 and Spring 2017 a visiting Professor at the Paris Institute of Political Science (Sciences Po).
Dorottya Sallai is Associate Professor of Management (Education) at LSE. She is the Education and Assessment Innovation Lead and Chair of the AI Policy Group in the Department of Management. She is recipient of LSE's Outstanding Teaching Award and a Senior Fellow of Advance HE (former Higher Education Academy). She is a core member of the 'GENerative AI Tools as a Catalyst for Learning' (Genial) project team.
Chloe Smith (@NorwichChloe) has served as a minister between 2010 and 2023, including as Secretary of State for Work and Pensions and Secretary of State for Science, Innovation and Technology.
Ken Benoit is Dean and Professor of Computational Social Science at the School of Social Sciences, Singapore Management University. He is also Professor of Computational Social Science in the Department of Methodology at LSE, and advisory board member for the Data Science Institute, LSE.
More about this event
This event will be available to watch on LSE Live. LSE Live is the new home for our live streams, allowing you to tune in and join the global debate at LSE, wherever you are in the world. If you can't attend live, a video will be made available shortly afterwards on LSE's YouTube channel.
The LSE School of Public Policy (@LSEPublicPolicy) equips you with the skills and ideas to transform people and societies. It is an international community where ideas and practice meet. Their approach creates professionals with the ability to analyse, understand and resolve the challenges of contemporary governance.
The LSE Public Policy Review is a journal published by LSE Press (@LSEPress) and hosted by the School of Public Policy.
The Data Science Institute (@LSEDataScience) 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.
This event is part of the ESRC Festival of Social Science 2024, taking place from 19 October to 9 November with events across the UK.
Hashtag for this event: #LSEEvents
Podcast & video
A podcast of this event is available to download from AI in public policy: opportunities and challenges.
A video of this event is available to watch at AI in public policy: opportunities and challenges.
Podcasts and videos of many LSE events can be found at the LSE Public Lectures and Events: podcasts and videos channel.
Featured image (used in source code with watermark added): Photo by Google DeepMind via Pexels.