As shown in the AMLAS ML assurance scoping process diagram above, this stage consists of two activities that are performed to define the safety assurance scope for an ML component. The artefacts generated from this stage are used to instantiate the ML safety assurance scoping argument pattern as part of Activity 2. An ML component comprises an ML model (e.g. a neural network) that is deployed onto the intended computing platform (i.e. comprising both hardware and software).
Additional guidance on the use of ML for autonomous systems can be found at .