The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems
Yan Jia,
John McDermid,
Nathan Hughes
et al.
Abstract:Machine learning has shown great promise in a variety of applications, but the deployment of these systems is hindered by the "opaque" nature of machine learning algorithms. This has led to the development of explainable AI methods, which aim to provide insights into complex algorithms through explanations that are comprehensible to humans. However, many of the explanations currently available are technically focused and reflect what machine learning researchers believe constitutes a good explanation, rather t… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.