Moderators Feroz Dinah, Richie Gill
Agenda
08:30 Introduction and history of AI, our glossary - Vipin Asopa
08:45 What is in the black box? - Peter Harris
09:00 Principles of AI - Justin Green
09:15 Considerations in AI… Basic background hardware, data, consent etc. - Irrum Afzal
09:30 The different types of AI: Vision, predictive and LLM - Ross Coomber
09:45 Final discussion
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Vipin Asopa
Consultant hip and knee surgeon, SWLEOC London
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 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.
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Peter Harris
Peter Harris is the Director of Research Science at NielsenIQ, where he leads a global team of Artificial Intelligence researchers. NielsenIQ is a multinational company dedicated to understanding consumer behaviour worldwide. In addition to his role at NielsenIQ, Peter serves as an AI consultant for the NHS, leveraging advanced AI techniques to predict medical conditions from x-rays before they are visible to the human eye. His expertise spans several cutting-edge domains, including Natural Language Processing, Image Classification, Graph Neural Networks, and Generative AI (in collaboration with Microsoft).