Workshop on Responsible Data Science and AI Research
Fairness | Safety | Reproducibility
21 March, 2024
9 AM – 6 PM GMT
In-person & online
Venue: Digital Environment Research Institute (DERI), Empire House, 67-75 New Road, London E1 1HH
Thursday, 21 March, 2024
The workshop will be hybrid: In-person venue (space is limited): Digital Environment Research Institute (DERI), Empire House, 67-75 New Road, London E1 1HH. Online participation via Zoom. Please register here for in-person (waitlist) and online attendance.
The workshop is supported by the Software Sustainability Institute, Queen Mary's Digital Environment Research Institute (DERI), and Queen Mary's School of Business and Management.
Workshop organisers: Valentin Danchev, Adrian Weller, Malvika Sharan, and Amaya Gallagher-Syed.
About the Workshop
The workshop brings together experts from different fields—including computer science, medicine and health, economics, business, banking, technology policy, and philosophy—to facilitate multidisciplinary discussions on issues of responsible data science and AI research.
We will discuss current developments in key areas of responsible use of data science and AI, including foundation and large language models, with a focus on issues of safety, fairness, interpretability, transparency, and reproducibility.
Speakers & Chairs
The Alan Turing Institute
Digital Catapult
University of Cambridge
Data for Policy CIC, UCL
Max Planck Institute for Software Systems
Queen Mary University of London
Software Sustainability Institute, University of Edinburgh
Bank of England
University of Oxford
JPMorgan Chase
University of Cambridge
Imperial College London
Queen Mary University of LondonMUL, The Alan Turing Institute
University Hospitals Birmingham
Queen Mary University of London
University of Oxford
Queen Mary University of London
University of Sheffield
Queen Mary University of London
University of Cambridge
IT University of Copenhagen
Queen Mary University of London
Bucknell University
The Alan Turing Institute
King's College London
London School of Economics
DeepMind
Imperial College London, The Alan Turing Institute
Programme
8:30 – 9:00 Arrival & Refreshments
9:00 – 9:30 Welcome & Introductions
Neil Chue Hong, Director, Software Sustainability Institute & Professor of Research Software Policy & Practice, University of Edinburgh
David Leslie, Professor of Ethics, Technology and Society at Digital Environment Research Institute, Queen Mary University of London & the Director of Ethics and Responsible Innovation Research at The Alan Turing Institute
Adrian Weller, Malvika Sharan, and Amaya Gallagher-Syed
9:30 – 11:10 Panel 1: Risks / Safety of AI Research
Chair: David Leslie
Speakers:
Xiaoxuan Liu, Senior Clinician Scientist in AI and Digital Health Technologies, University Hospitals Birmingham
Chanell Daniels, Responsible AI Manager, Digital Catapult
Keegan McBride, Departmental Research Lecturer in AI, Government, and Policy, Oxford Internet Institute
Zeynep Engin, Founding Director, Data for Policy CIC, UCL
Michael Roberts, Principal Research Associate at DAMTP and Department of Medicine, University of Cambridge
Richard Saldanha, Teaching Fellow, The School of Economics and Finance, QMUL; Founder/Co-Head Oxquant
Ziquan Liu, Lecturer (Assistant Professor), School of Electronic Engineering and Computer Science, Queen Mary University of London
11:10 – 11:30 Refreshment Break
11:30 – 13:00 Panel 2: Fairness / Explainability / Interpretability
Chair: Malvika Sharan
Speakers:
Krishna Gummadi, Head, Networked Systems Group, Planck Institute for Software Systems
Kate Vredenburgh, Assistant Professor, Department of Philosophy, Logic and Scientific Method, LSE
Michelle Seng Ah Lee, PhD candidate, Department of Computer Science & Technology, University of Cambridge
Francesco Leofante, ICRF Fellow, Centre for Explainable AI, Imperial College London
Matthew Wicker, Assistant Professor (Lecturer), Imperial College London; Research Associate, The Alan Turing Institute
Andreas Joseph, Research Economist, Bank of England
13:00 – 14:00 Lunch Break
14:00 – 15:40 Panel 3: Risks / Safety of Large Language Models
Chairs: Lizzie Remfry & Valentin Danchev
Speakers:
Laura Weidinger, Senior Research Scientist, DeepMind
Anna Rogers, Assistant Professor, Computer Science Department, IT University of Copenhagen
Jane Yu, Researcher, Meta AI
Denis Newman-Griffis, Lecturer in Data Science, Information School, University of Sheffield
Michael Yeomans, Assistant Professor in Strategy and Organisational Behaviour, Imperial College Business School
Elena Kochkina, Researcher, AI Research, JPMorgan Chase
Jonathan Bright, Head of AI for Public Services and Head of Online Safety, The Alan Turing Institute
15:40 – 16:00 Refreshment Break
16:00 – 17:40 Panel 4: Transparency / Reproducibility
Chair: Sara Villa
Speakers:
Sara Stoudt, Assistant Professor, Department of Mathematics, Bucknell University
Maximilian Kasy, Professor of Economics, University of Oxford
Stephen Eglen, Professor, Department of Applied Mathematics and Theoretical Physics, University of Cambridge
Jie Zhang, Lecturer in Computer Science, King's College London
Bastian Greshake Tzovaras, Senior Researcher, Alan Turing Institute
Caroline Morton, Senior Clinical Research Fellow in Health Data Engineering, Mary University of London
Michel F. C. Haddad, Associate Professor in Business Statistics, Queen Mary University of London
17:40 – 18:00 Concluding remarks
18:00 – 18:30 Drinks Reception and Close
Organisers
Lecturer in Business Analytics, School of Business and Management, Queen Mary University of London
Senior Researcher - Open Research at the Tools, Practices and Systems Research Programme, The Alan Turing Institute
Health Data in Practice PhD Student, Queen Mary University of London
Director of Research in Machine Learning, University of Cambridge & Head of Safe and Ethical AI, The Alan Turing Institute