It is not just in the automotive industry that autonomy is a big issue. The level of autonomy in
safety-related systems is rapidly increasing in many different domains such as healthcare,
manufacturing, agriculture, shipping and rail. All of these domains face t heir own unique
assurance challenges, but there are also many common themes that emerge across domains. In this presentation I will identify some of the key cross-domain challenges and lessons in assuring autonomy, and discuss the relevance of these to autonomous driving.
This workshop will explore approaches to assuring the safety of the use of machine learning. It will consider the issues across the machine learning lifecycle, looking at data management, model learning, model verification and model deployment.
Check out the incredible speaker line-up to see who will be joining Richard.
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