Assurance of Machine Learning for use in Autonomous Systems (AMLAS)
Here we present our leading methodology for the Assurance of Machine Learning for use in Autonomous Systems (AMLAS).
AMLAS comprises a set of safety case patterns and a process for systematically integrating safety assurance into the development of machine learnt (ML) components. This provides a compelling argument about your ML model to feed into your system safety case.
You can access AMLAS using the links below- either on our separate guidance website (www.assuringautonomy.com) or as a PDF download. We also have an AMLAS Tool that will help you work through the AMLAS process and create a safety case for your ML component.