The City, University of London team comes from the Centre for Software Reliability (CSR), the Research Centre for Machine Learning (RCML) and the Data Science Institute (DSI).
Our research addresses the following questions:
1. What is the basis for judging that AVs are acceptable for widespread use? How to define and manage the trade-offs that arise between safety, efficiency and cost etc. How to evaluate confidence and combine disparate evidence.
2. What architecture, training and implementation strategies can be used to manage and reduce risks to passengers and public during AV development prior to widespread acceptance, and how is the contribution of these to system safety to be assessed?
We will address the research questions from an assurance case perspective, to structure and challenge the claims and assumptions.