Overall Structure:
- Identify trends from a technical, economic, and social science perspective
- Determine priority research gaps relevant to policymaking, especially those that cut across use cases
- Consider what data, partnerships, and funding are needed to fill these gaps
All sessions chaired with Q + A.
Register: https://www.bennettinstitute.cam.ac.uk/events/the-ai-value-chain/#agenda
10:00-17:00
TUESDAY 6 MAY 2025 - DAY ONE
09:15-10:00
Registration & welcome refreshments
10:00-11:00
Technical keynote
How should policymakers think about the AI value chain? What technical advances in AI are shaping its capabilities, and what are the emerging risks and opportunities?
Speaker:
- Neil Lawrence, University of Cambridge
Chair:
- Diane Coyle, Bennett Institute for Public Policy
11:00-11:15
Break
11:15-12:45
Hardware & compute
What roles do hardware and compute play in the AI value chain? What are the dependencies, and how do they shape policy priorities?
Speakers:
- Matt Davies, Ada Lovelace Institute
- Boxi Wu, Oxford Internet Institute
- Aleksei Turobov, Bennett Institute for Public Policy
- Guy Lalanne, OECD
Chair:
- Diane Coyle, Bennett Institute for Public Policy
12:45-13:45
Lunch
13:45-15:15
AI innovation & diffusion
Where are the key areas of and trends in AI diffusion, and what are the implications for policy?
Speakers:
- Flavio Calvino, OECD
- Paul Nightingale, University of Sussex
- Diane Coyle, Bennett Institute for Public Policy
- Natasha McCarthy, Royal Academy of Engineering
Chair:
- Guy Lalanne, OECD
15:15-15:30
Break
15:30-17:00
Use cases
How might AI be used in the public and private sectors? How do the economic incentives and societal implications interact?
Speakers:
- Eric Sutherland, OECD
- Kristen-Ann Rutter, Cambridge University Health Partners
- Jess Montgomery, AI@Cam / Local Government
- Hannah-Beth Clark, Oak National Academy
Chair:
- Diane Coyle, Bennett Institute for Public Policy
10:00-13:00
WEDNESDAY 7 MAY 2025 - DAY TWO
09:15-10:00
Registration & welcome refreshments
10:00-11:00
Economic keynote: Should we fear AI?
How might progress in AI be measured, and in a way that promotes public value?
Speaker:
- Philippe Aghion, Collège de France
Chair:
- Guy Lalanne, OECD
11:00-13:00
AI’s economic and societal implications
Given the current and potential future uses of AI, how can policymakers not only manage the risks of AI but also ensure that it benefits society as a whole?
Speakers:
- Mike Walker, Competition and Markets Authority
- Aled Owen, Responsible AI UK
- Sabrina Küspert, EC AI Office
Chair:
- Diane Coyle, Bennett Institute for Public Policy