Technical reports · 2021.02.03
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Overview
Provides a six-stage process for constructing assurance arguments about machine-learning components in autonomous systems. Safety-case patterns connect lifecycle activities with evidence, helping teams justify whether an ML component is suitable for its intended safety-related role.
Publication and version information
The York repository gives 3 February 2021 as the publication date. The linked PDF is Version 1.1, dated 8 March 2021; its change history lists the initial issue as 2 February.
Version: 1.1 — 2021-03-08