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Generative AI and the Knowledge Economy Symposium 2024

Our annual Symposium on Generative AI & The Knowledge Economy is back on 20/21 May 2024. This event is part of the ongoing DSI Squared Partnership - a collaboration between the Data Science Institutes at Imperial College London and The London School of Economics and Political Science.

2024 Theme: 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 policymakers have come to appreciate the 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.

Download a detailed version of the agenda including talk titles and more information about speakers here:

Symposium agenda 2024.

Day 1 at Imperial Monday 20 May 2024

12:00-13:00 Registration and networking

13:00-13:15 Welcome and Introduction

13:15-14:15 Session 1: The State of AI

14:15-15:15 Session 2: Practical Assurance – developing safe and responsible AI

15:15-15:45 Conversation break

15:45-16:45 Session 3: Accountability and transparency

16:45-17:00 Short break

17:00-18:00 Session 4: Looking Ahead - Panel of Speakers

18:00-18:30 Conversation break

18:30-19:45 Keynote: AI, Data and Decision Making – Risks and Opportunities in Public Service

19:45-20:30 Drinks reception

Day 2 at LSE Tuesday 21 May 2024

13:30-14:00 Registration and networking

14:00-14:05 Welcome and Introduction

14:05-14:50 Panel 1: Generative AI in health and healthcare, help or hindrance?

14:50-15:10 Break and refreshments

15:10-15:55 Panel 2: AI and the transition to net-zero

15:55-16:15 Break and refreshments

16:15-17:00 Panel 3: The role of AI in education

17:00-18:00 Break

18:00-19:00 Keynote: AI for science is at the heart of progress

19:00-20:00 Drinks reception

Dr Laura Gilbert CBE, 10 Downing Street

Keynote Talk: AI, Data and Decision Making - Risks and Opportunities in Public Service

Sign up to Laura's Keynote talk on 20 May at Imperial College London.

About Laura

Dr. Laura Gilbert is the director of 10DS, the data science and analytics team in Downing Street, director of the Incubator for Artificial Intelligence (i.AI), joint Chief Analyst for the Cabinet Office and SRO for the AI for Public Good program.

Her teams provide fast-paced modelling and analysis to support policy making and delivery, deliver expert data and AI solutions into public services, and run a radical transformation agenda promoting the better use of evidence, data and technology in government decision making. She also created and spearheads a broader program of innovation, digitisation and radical upskilling in central government called Evidence House.

She holds a doctorate in Particle Physics and Computing, is a Visiting Professor at LSE, and holds fellowships of the Institute of Physics and the Institute of Analytics. She previously worked in defence intelligence, quantitative finance, and for nearly a decade was CTO of a medical technologies company, Rescon, bringing it from start-up to SMT to acquisition before exiting and joining government in 2020.

Nicklas Lundblad, Google Deepmind

Keynote Talk: AI for science is at the heart of progress

Sign up to Nicklas' Keynote talk on 21 May at The London School of Economics.

About Nicklas

Nicklas Lundblad is responsible for Google DeepMind’s public policy strategy and engagement, where he focuses on building a mandate for solving intelligence to accelerate science and benefit humanity. He is a writer, researcher and public policy expert with more than 20 years experience leading, building, and developing policy functions at companies including Google and Stripe.

Prior to Google DeepMind, Nicklas was Head of Global Tech Policy at Stripe Inc and has held various roles at Google – the most recent being Head of Global Policy Planning and Vice President of public policy for Europe, Middle East and Africa. Nicklas was previously Vice President for the Stockholm Chamber of Commerce in 2009.

He has a PhD in informatics, a B.A in Philosophy, and is a Fellow at the Royal Society of Arts in the UK. He has written four books on technology and law, the latest being focused on the philosophy of questions. Together with Richard Allan he runs the podcast, Regulate Tech.