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Registrations now OPEN! Sign up to the 2024 Generative AI and the Knowledge Economy Symposium today.

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.

Keynote Speakers

Laura Gilbert

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

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. 

Speakers

Anna Diijkstra

Anna Diijkstra

Anna Diijkstra
Director of Innovation for Healthcare and life sciences at Microsoft

Anna Studman

Anna studman

Anna Studman
Senior Researcher, Ada Lovelace Institute

Daniel Erasmus

Daniel Erasmus

Daniel Erasmus
Climate GPT

Professor David Shrier

David Shrier

Professor David Shrier
Founder and Co-Director, Trusted AI Alliance

Dr Jonathan Cardoso Silva

Jonathan Cardoso Silva

Dr Jonathan Cardoso Silva
Assistant Professor -Education, Data Science Institute, LSE

Dr Kai Sun

Kai Sun

Dr Kai Sun
DSI Operations Manager, Imperial College London

Professor Kenneth Benoit

Ken Benoit LSE

Professor Kenneth Benoit
DSI Director at LSE

Professor Mairéad Pratschke

Mairéad Pratschke

Professor Mairéad Pratschke
Professor and Chair in Digital Education, University of Manchester

Dr Marion Dumas

Marion Dumas

Dr Marion Dumas
Assistant Professorial Research Fellow, Grantham Institute, LSE

Dr Mark Kennedy

Mark Kennedy

Dr Mark Kennedy
Director, Data Science Institute Imperial College London

Dr Miqdad Asaria

Miqdad Asaria

Dr Miqdad Asaria
Assistant Professor, Department of Health Policy, LSE

Nataša Krco

Natasa Krco

Nataša Krco
Postgraduate Researcher, Computational Privacy Group

Pritesh Mistry

Pritesh Mistry

Pritesh Mistry
Fellow, Policy Team at The Kings Fund

Professor Ron Chrisley

Ron Chrisley

Professor Ron Chrisley
Director of the Centre for Cognitive Science, Department of Informatics, University of Sussex

Dr Rossella Arcucci

Rossella Arcucci

Dr Rossella Arcucci
DSI Director of Research and Senior Lecturer in Data Science and Machine Learning

Sam Young

Sam Young

Sam Young
Practice manager ADViCE

Shakeel Khan

Shakeel Khan

Shakeel Khan
CEO, Validate AI

Dr Steven Watson

Steven Watson

Dr Steven Watson
Associate Professor, Education, University of Cambridge

Sue Attewell

Sue Attewell

Sue Attewell
Head of edtech, JISC

Dr Wenjia Bai

Wenjia Bai

Dr Wenjia Bai
Senior Lecturer at Department of Computing and the Department of Brain Sciences

Dr Yves-Alexandre de Montjoye

Yves-alexandre de Montjoye

Dr Yves-Alexandre de Montjoye
Associate Professor of Applied Mathematics and Computer Science, Imperial College London

Watch the recordings

Introduction and Session 1: The State of AI

Introduction and Session 1: The State of AI

Introduction and Session 1: The State of AI

Introduction and Session 1: The State of AI - Generative AI Symposium 2024

Session 2: Practical assurance

Session 2: Practical assurance

Session 2: Practical assurance – Developing Safe and Responsible AI

Session 3: Accountability and Transparency - Generative AI S

Session 3: Accountability and Transparency

Session 3: Accountability and Transparency - Generative AI Symposium 2024

Session 4: Panel Discussion - Generative AI Symposium 2024

Session 4: Panel Discussion: Looking Ahead

Session 4: Panel Discussion - Generative AI Symposium 2024

Keynote: AI, Data and Decision Making Generative AI Symposiu

Keynote: AI, Data and Decision Making

Keynote: AI, Data and Decision Making - Generative AI Symposium 2024