Robotic and Autonomous Systems Safety (RASS)
In this course, we will address the safety of Autonomous Systems (AS) employing Artificial Intelligence (AI). The course covers systems engineering and safety assurance for AS, including the use and assurance of AI for autonomy, decision support and to support the safety assurance process. The course also considers socio-technical issues around responsibility, human factors and human-autonomy teaming, and considers the development of an ethics case for AS projects.
Description
By the end of the course, you will be able to:
- Identify and describe the disruptors - technical, engineering and social - to existing system safety engineering practices generated by autonomous systems.
- Describe and evaluate the implications for and changes required in safety assessment and assurance practices to accommodate autonomous systems and associated emerging technologies.
- Consistently and clearly communicate concepts and issues relating to autonomous systems engineering and safety.
- Identify the societal and regulatory impact of autonomous systems and implications for risk acceptance in a range of safety-critical domains.
- Demonstrate how to provide a compelling safety case for autonomous systems.