King's College London
Not stated
- Location
- London, United Kingdom
- Funding
- See university guidance
- Application deadline
- See university guidance
About the project
The King’s Prize Doctoral Programme in Safe, Trusted and Responsible Artificial Intelligence (STaR‑AI) brings together leading researchers from across King’s College London to train the next generation of experts in responsible AI. The programme equips graduates to understand the technical challenges of building safe and trustworthy AI, to engage critically with its human and societal implications, and to work confidently across disciplines to ensure AI technologies have positive impact.
King’s longstanding strength in interdisciplinarity provides a distinctive environment for studying AI and its wider consequences. Building on the success of the UKRI Centre for Doctoral Training in Safe and Trusted AI , STaR‑AI is supported by specialists in AI methods, human‑centred approaches, and legal and ethical frameworks from the Departments of Informatics and Digital Humanities , and the Dickson Poon School of Law . Students will gain both technical and non‑technical expertise relevant to responsible AI development across sectors, and will be well prepared for diverse careers, including in academia, research and development, and policy.
The programme welcomes applicants from a wide range of disciplinary backgrounds. Multidisciplinary supervision teams support students working on diverse application areas. Some focus on advancing core technical methods, such as new verification techniques for certifying AI system safety. Others examine human, social and legal dimensions, including the impact of AI on work and labour. Several projects span the socio‑technical space, for example developing new approaches to human–AI collaboration.
STaR‑AI students are part of a collaborative research community and take part in regular cohort‑building and training activities.
Group leads
- Professor Elizabeth Black Director of the NMES Graduate School
Professor Elizabeth Black
- Dr Martim Brandão Lecturer in Robotics and Autonomous Systems
Dr Martim Brandão
- Dr Mark Coté Reader in Data and Society
Dr Mark Coté
- Dr Petros Terzis Lecturer in Digital Law
Contact us
- Contact us: star-ai@kcl.ac.uk
Related departments
- Faculty of Natural, Mathematical & Engineering Sciences
- The Dickson Poon School of Law
- Faculty of Arts & Humanities
- Department of Informatics
- Department of Digital Humanities