Making Generative AI Work Well: Tackling Effectiveness, Safety, and Integrity
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.
EVENT SCHEDULE:
Find more information about Day 1 on DSI Imperial's website
- 12.00pm to 1.00pm | Registration and networking
- 1.00pm to 1.15pm | Welcome and Introduction
- 1.15pm to 2.15pm | SESSION 1 | The State of AI
- 2.15pm to 3.15pm | SESSION 2 | Accountability and transparency
- 3.15pm to 3.45pm | Conversation break
- 3.45pm to 4.45pm | SESSION 3 | Practical Assurance – developing safe and responsible AI
- 4.45pm to 5.00pm | Short break
- 5.00pm to 6.00pm | SESSION 4 | Panel of speakers, with audience Q&A
- 6.00 pm - 6.30 pm | Conversation break
- 6.30 pm - 7.45 pm | KEYNOTE ADDRESS | A debate on AI safety
- 7.45pm to 8.30pm | Drinks reception
- 1.30pm to 2.00pm | Arrival and registration (tea and coffee served)
- 2.00pm to 2.15pm | Welcome and Introduction | Professor Ken Benoit, Director, Data Science Institute, LSE
- 2.15pm to 3.00pm | PANEL 1 | Generative AI in health and healthcare, help or hindrance?
- 3.00pm to 3.30pm | Break (tea and coffee served)
- 3.30pm to 4.15pm | PANEL 2 | AI and the transition to net-zero
- 4.15pm to 4.45pm | Break (tea and coffee served)
- 4.45 pm to 5.30 pm | PANEL 3 | The role of AI in education
- 5.30pm to 6.30pm | Break
- 6.30pm to 7.30pm | KEYNOTE ADDRESS | Details to be announced
- 7.30pm to 8.30pm | Drinks reception
DAY 2 | LONDON SCHOOL OF ECONOMICS | PANEL DETAILS:
Date and time: 21 May 2024, 2.00pm to 3.00pm (including welcome address from Ken Benoit, Director, Data Science Institute, LSE)
Location: LSE Campus (venue TBC)
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
Find out more information about this panel and register your attendance
Date and time: 21 May 2024, 4.45pm to 5.30pm
Location: LSE Campus (venue TBC)
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
Find out more information about this panel and register your attendance.
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.