AI in MSK Education Series: AI ethics, consent and data fairness | 5 July 2024
Overview
AI in MSK Education Series: AI ethics, consent and data fairness | 5 July 2024
The forum is free to attend but delegates must REGISTER HERE in advance via Zoom
09:00 Introduction & welcome Mr Vipin Asopa, Consultant Orthopaedic Surgeon (Academic Surgical Unit), South West London Elective Orthopaedic Centre
09:05 Balancing ethical benefits and risks, rethinking consent and the social contract for AI-driven health research Dr Alex McKeown, Head of Data Ethics, Information Governance Services
09:40 Questions
09:45 The importance of trustworthiness being demonstrated by institutions which hold and use patient data, as an essential component of good data governance Dr William Chan, Data Ethics Consultant, Information Governance Services
10:15 Questions
10:20 The risks of algorithmic bias for justice and fairness in treatment Dr Aisha Sobey, Research Associate, Leverhulme Centre for the Future of Intelligence and Dr Milena Ivanova, Teaching Fellow, Leverhulme Centre for the Future of Intelligence
10:50 Questions
10:55 Reflections and examples Mr Vipin Asopa, Consultant Orthopaedic Surgeon (Academic Surgical Unit), South West London Elective Orthopaedic Centre
Course convenors:
Dr Alex McKeown
Head of Data Ethics. Information Governance Services Limited
Alex is head of Data Ethics at IGS. A bioethicist and philosopher by training, Alex has specialisms including data and AI ethics. After completing his PhD at the University of Bristol, Alex spent a decade in academia, the final six at the University of Oxford, where he remains a Visiting Fellow. At Oxford Alex worked on data and AI projects for funders including the UK Medical Research Council, Novartis Pharmaceuticals and the EU Innovative Medicines Initiative. Alex co-chaired the Oxford Mental Health Data Ethics Leadership Group and was an invited tutor at the Yale University Summer Institute in Bioethics. He has published journal articles on a range of issues in data and AI ethics and is committed to providing high quality, rigorous advice to clients on all aspects of ethics in data and AI governance.
Mr Vipin Asopa
Consultant Orthopaedic Surgeon, (Academic Surgical Unit), South West London Elective Orthopaedic Centre
Mr Vipin Asopa PhD FRCS (Tr & Orth) is a consultant hip and knee surgeon based at the South West London Elective Orthopaedic Centre. He has completed a PhD in articular cartilage biology at the Kennedy Institute, before completing his higher orthopaedic surgical training in North West London and fellowship training at Sportsmed SA, Adelaide and The Royal Berkshire Hospitals NHS Foundation Trust. He has recently received Orthopaedic Research UK funding to investigate the optimal conditions for harvesting stem-cells from adipose tissue. Additionally, Mr Asopa is a Python coder and primary investigator for a study titled, ‘The use of machine learning in the early detection of failing total hip replacements’, this is a project that is also being supported by ORUK.
Dr Milena Ivanova
Senior Teaching Associate in Philosophy
Milena Ivanova is a philosopher of science specialising in the aesthetics of science, the automation of creativity, and feminist perspectives on science. She is the author of Duhem and Holism (2021), which explores how we learn from experiments, and co-editor of ‘The Aesthetics of Science: Beauty, Imagination and Understanding’ (2020) and ‘The Aesthetics of Scientific Experiments’ (2023). Her piece ‘The Beautiful Experiment’ won the 2022 American Philosophical Association’s Public Philosophy Op-Ed prize.
Dr William Chan
Data Ethics Consultant at IGS
Dr William Chan is a Data Ethics Consultant at Information Governance Services (IGS). He is also a Teaching Fellow at the Leverhulme Centre for the Future of Intelligence (LCFI), University of Cambridge. Alongside his consulting work, he is involved in the education programmes of both IGS and LCFI in AI and data ethics.
Dr Aisha Sobey
Research Associate and Research Program Coordinator at LCFI
Dr Aisha Sobey is an interdisciplinary STS researcher, who is concerned with understanding the interaction of the digital systems and the human experience, especially concerning power structures.