  This report documents safety assurance argument templates to support the
deployment and operation of autonomous systems that include machine learning
(ML) components. The document presents example safety argument templates
covering: the development of safety requirements, hazard analysis, a safety
monitor architecture for an autonomous system including at least one ML
element, a component with ML and the adaptation and change of the system over
time. The report also presents generic templates for argument defeaters and
evidence confidence that can be used to strengthen, review, and adapt the
templates as necessary. This report is made available to get feedback on the
approach and on the templates. This work was sponsored by the UK Dstl under the
R-cloud framework.
