47 citations · 155 across the 18 of their papers we have counts for
3 papers · 1 filter
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…
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Richard Hawkins, Colin Paterson, Chiara Picardi +3
Machine Learning (ML) is now used in a range of systems with results that are reported to exceed, under certain conditions, human performance. Many of these systems, in domains suc…
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…