9 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Yan Jia, John McDermid, Tom Lawton +1
Established approaches to assuring safety-critical systems and software are difficult to apply to systems employing ML where there is no clear, pre-defined specification against wh…
cs.LG2021★ 9 cited
A Framework for Assurance of Medication Safety using Machine Learning
Yan Jia, Tom Lawton, John McDermid +2
Medication errors continue to be the leading cause of avoidable patient harm in hospitals. This paper sets out a framework to assure medication safety that combines machine learnin…
cs.CY2020★ 9 cited
Enhancing Covid-19 Decision-Making by Creating an Assurance Case for Simulation Models
Ibrahim Habli, Rob Alexander, Richard Hawkins +4
Simulation models have been informing the COVID-19 policy-making process. These models, therefore, have significant influence on risk of societal harms. But how clearly are the und…