This event is co-organized by the Department of Pathology and the Centre for Medical Ethics & Law (CMEL) of the University of Hong Kong.

Speaker:
Bernard Lo, M.D.
President & CEO of The Greenwall Foundation
Professor of Medicine Emeritus and Director of the Program in Medical Ethics Emeritus at the University of California San Francisco 

Abstract: 
Artificial intelligence (AI) and machine learning (ML) may enhance medical care, but also raise difficult ethical challenges. Different types of big data are used to develop artificial intelligence and machine learning applications to medicine. These applications include classifying medical images, predictive analytics, and recommending clinical decisions. However, AI also raises several ethical challenges: (1) limitations in the data sets used to derive the algorithms and recommendations; (2) how to assess the clinical benefits and risks of applying AI to clinical care; (3) how to respond to errors in AI recommendations; (4) the impact on patient autonomy and (5) the privacy of personal data used to derive AI recommendations. Different countries and cultures will address these ethical challenges differently. 

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Medical Laboratory Technologists (MLT) CPD code: 
04181141