UKRI Centre for Doctoral Training: Safe & Trusted AI PhD

Overview

The UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI) brings together world leading experts from King’s College London and Imperial College London to train a new generation of researchers in safe and trusted artificial intelligence (AI). The STAI CDT offers a unique four-year programme, focussed on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. Students will engage in various training activities, alongside their individual PhD project, ensuring that not only are they trained in state-of-the-art AI techniques, but also that they acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting. Through engagement with the CDT’s diverse range of industrial partners, students will be exposed to the different experiences, challenges, and technical problems involved in both startups and large corporations. The CDT leadership team is committed to providing an inclusive environment in which diverse students can thrive. Diversity is crucial for enabling world leading research, impact and teaching, and an inclusive environment is vital to allow people to contribute their best.

Course detail

Run jointly by King's College London and Imperial College London, the CDT focusses on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. Model-based AI techniques provide an explicit language for representing, analysing and reasoning about systems and their behaviours. Models can be verified and solutions based on them can be guaranteed as safe and correct; and models can provide human-understandable explanations and support user collaboration and interaction with AI – key for developing trust in a system. King’s College London and Imperial College London are renowned for their expertise in model-based AI and host some of the world’s leaders in the area. The depth and breadth of expertise in model-based AI is complemented with related expertise in related technical areas such as cybersecurity and data science, and with expertise related to the implications and applications of AI in areas such as security studies & defence, business, law, ethics & philosophy, social sciences & digital humanities, natural sciences & medicine. Find out more about our research at King's and at Imperial.