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.
Agenda
Keynote Speakers
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.
Speakers
Anna Diijkstra
Anna Diijkstra
Director of Innovation for Healthcare and life sciences at Microsoft
Anna Studman
Anna Studman
Senior Researcher, Ada Lovelace Institute
Daniel Erasmus
Daniel Erasmus
Climate GPT
Professor David Shrier
Professor David Shrier
Founder and Co-Director, Trusted AI Alliance
Dr Jonathan Cardoso Silva
Dr Jonathan Cardoso Silva
Assistant Professor -Education, Data Science Institute, LSE
Dr Kai Sun
Dr Kai Sun
DSI Operations Manager, Imperial College London
Professor Kenneth Benoit
Professor Kenneth Benoit
DSI Director at LSE
Professor Mairéad Pratschke
Professor Mairéad Pratschke
Professor and Chair in Digital Education, University of Manchester
Dr Marion Dumas
Dr Marion Dumas
Assistant Professorial Research Fellow, Grantham Institute, LSE
Dr Mark Kennedy
Dr Mark Kennedy
Director, Data Science Institute Imperial College London
Dr Miqdad Asaria
Dr Miqdad Asaria
Assistant Professor, Department of Health Policy, LSE
Nataša Krco
Nataša Krco
Postgraduate Researcher, Computational Privacy Group
Pritesh Mistry
Pritesh Mistry
Fellow, Policy Team at The Kings Fund
Professor Ron Chrisley
Professor Ron Chrisley
Director of the Centre for Cognitive Science, Department of Informatics, University of Sussex
Dr Rossella Arcucci
Dr Rossella Arcucci
DSI Director of Research and Senior Lecturer in Data Science and Machine Learning
Sam Young
Sam Young
Practice manager ADViCE
Shakeel Khan
Shakeel Khan
CEO, Validate AI
Dr Steven Watson
Dr Steven Watson
Associate Professor, Education, University of Cambridge
Sue Attewell
Sue Attewell
Head of edtech, JISC
Dr Wenjia Bai
Dr Wenjia Bai
Senior Lecturer at Department of Computing and the Department of Brain Sciences
Dr 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 - Generative AI Symposium 2024
Session 2: Practical assurance
Session 2: Practical assurance – Developing Safe and Responsible AI
Session 3: Accountability and Transparency
Session 3: Accountability and Transparency - Generative AI Symposium 2024
Session 4: Panel Discussion: Looking Ahead
Session 4: Panel Discussion - Generative AI Symposium 2024
Keynote: AI, Data and Decision Making
Keynote: AI, Data and Decision Making - Generative AI Symposium 2024