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

Jonathan Bright

The Alan Turing Institute

Chanell Daniels

Digital Catapult

Stephen Eglen

University of Cambridge

Zeynep Engin

Data for Policy CIC, UCL

Krishna Gummadi

Max Planck Institute for Software Systems

Michel F. C. Haddad

Queen Mary University of London

Neil Chue Hong

Software Sustainability Institute, University of Edinburgh

Andreas Joseph

Bank of England

Maximilian Kasy

University of Oxford

Elena Kochkina

JPMorgan Chase

Michelle Seng Ah Lee

University of Cambridge

Francesco Leofante

Imperial College London

David Leslie

Queen Mary University of LondonMUL, The Alan Turing Institute

Xiaoxuan Liu

University Hospitals Birmingham

Ziquan Liu

Queen Mary University of London

Keegan McBride

University of Oxford

Caroline Morton

Queen Mary University of London

Denis Newman-Griffis

University of Sheffield

Elizabeth Remfry 

Queen Mary University of London

Michael Roberts

University of Cambridge

Anna Rogers

IT University of Copenhagen

Richard Saldanha

Queen Mary University of London

Sara Stoudt 

Bucknell University

Bastian Greshake Tzovaras

The Alan Turing Institute

Sara Villa

King's College London

Kate Vredenburgh

London School of Economics

Matthew Wicker

Imperial College London, The Alan Turing Institute

Michael Yeomans

Imperial College Business School

Jane Yu

Meta AI

Jie Zhang

King’s College London


8:30 – 9:00 Arrival & Refreshments

9:00 – 9:30 Welcome & Introductions

Valentin Danchev

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


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


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


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

15:4016:00 Refreshment Break  

16:00 – 17:40 Panel 4: Transparency / Reproducibility 

Chair: Sara Villa


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

17:4018:00 Concluding remarks

18:00 – 18:30 Drinks Reception and Close


Valentin Danchev

Lecturer in Business Analytics, School of Business and Management, Queen Mary University of London

Malvika Sharan

Senior Researcher - Open Research at the Tools, Practices and Systems Research Programme, The Alan Turing Institute

Amaya Gallagher-Syed

Health Data in Practice PhD Student, Queen Mary University of London

Adrian Weller

Director of Research in Machine Learning, University of Cambridge & Head of Safe and Ethical AI, The Alan Turing Institute