20 May | Imperial College London | 12.00pm to 8.30pm 21 May | London School of Economics | 1.30pm to 8.00pm
As generative AI smashed records for speed of individual adoption, organisations are now tackling challenges of making AI work well — well enough to support not just individual adoption, but institutionalisation. Though still early days, users, organisations, and policy makers have come to appreciate challenges of hallucination, control, and transparency of data and use. In response to these challenges, scientists, entrepreneurs, users, and governments are tackling issues of effectiveness, safety, and integrity.
Through a programme of talks and panels on the key challenges, our 2024 symposium will take up the theme of Making Generative AI Work Well.
1.30pm to 2.00pm | Arrival and registration (tea and coffee served)
2.00pm to 2.05pm | Welcome and Introduction |Professor Ken Benoit, Director, Data Science Institute, LSE
2.05pm to 2.50pm | PANEL 1 |Generative AI in health and healthcare, help or hindrance?
2.50pm to 3.10pm | Break (tea and coffee served)
3.10pm to 3.55pm | PANEL 2 | AI and the transition to net-zero
3.55pm to 4.15pm | Break (tea and coffee served)
4.15 pm to 5.00pm | PANEL 3 |The role of AI in education
5.00pm to 6.00pm | Break
6.00pm to 7.00pm | FIRESIDE CHAT | AI for Science is at the Heart of Progress
7.00pm to 8.00pm | Drinks reception
DAY 2 | LONDON SCHOOL OF ECONOMICS | PANEL DETAILS:
Date and time:21 May 2024, 2.00pm to 2.50pm (including welcome address from Ken Benoit, Director, Data Science Institute, LSE) Location: SZLT, Cheng Kin Ku Building, 54 Lincoln's Inn Fields
Speakers: Anna Dijkstra, Director of Innovation for Healthcare and life sciences, Microsoft Pritesh Mistry, Fellow, policy team, The Kings Fund Anna Studman, Senior Researcher, Ada Lovelace Institute
Chair: Miqdad Asaria, Assistant Professor, Department of Health Policy, LSE
Date and time: 21 May 2024, 3.10pm to 3.55pm Location: SZLT, Cheng Kin Ku Building, 54 Lincoln's Inn Fields Speakers: Daniel Erasmus, Creator of ClimateGPT Sam Young, Practice Manager for Data Science and AI, Energy Systems Catapult Susanne Knorr, Head of Place Intelligence, Connected Kerb
Chair: Marion Dumas, Assistant Professorial Research Fellow, Grantham Institute, LSE
Date and time: 21 May 2024, 4.15pm to 5.00pm Location: SZLT, Cheng Kin Ku Building, 54 Lincoln's Inn Fields
Speakers: Sue Attewell, Head of AI and co-design, JISC Steven Watson, Associate Professor, Faculty of Education, University of Cambridge Mairéad Pratschke, Professor and Chair in Digital Education, University of Manchester
Chair: Dr Jonathan Cardoso-Silva, Assistant Professor (Education), Data Science Institute, LSE
ABOUT DSI SQUARED | Imperial College London x London School of Economics:
DSI Squared is a collaborative initiative joining the Data Science Institutes from both Imperial College London and the London School of Economics (LSE). When it comes to data science research and its impact, the LSE’s strengths in the social sciences naturally complements Imperial’s strengths in science, technology, and medicine. By working together, the team hopes this initiative will enhance their joint influence on on policy in wide scope domains – areas where alternative facts compete with scientific findings for influence in the policy making process.
