Thoughts to be shared
While both Rolls-Royce’s power technologists and oncology professionals are experts in our respective domains, we also share the characteristic that the public is frequently our end-user and we both need the public to trust our decision making, products and services to keep them safe.
Anyone who’s travelled long-haul in the last 20 years will have, perhaps unknowingly, benefited from the AI and data analytics used to ensure our Trent engines on the aircraft wings are running at their optimum. Not to mention the gigantic data sets created through real-time engine health monitoring to accurately minimise disruptions, maximise availability and secure revenue. These monitoring and quality assurance measures would be invaluable in critical software systems for treatment planning and radiotherapy department workflow.
Additionally, the framework considers factors like social impact. For example, the loss of skills as AI takes on more of the tasks performed by doctors, dosimetrists, physicists and radiographers may mean that additional, new training is needed to help professionals work alongside AI in different ways. As the AI improves to 99.9% accuracy, monitoring the 0.01% will be a key factor in these roles.