From 14–16 July 2025, PhD students, researchers and industry professionals gathered at Imperial College London for this year’s Safe and Trusted AI Summer School.
The Safe and Trusted AI Summer School brought together over 60 participants from across the UK and beyond (we had participants from Europe and the US) in academia and industry to explore the latest developments in safe, responsible, and ethical artificial intelligence. Through a combination of talks and poster sessions, attendees engaged with cutting-edge research and critical debates shaping the future of AI.
The three-day event was co-organised by the UKRI Centre for Doctoral Training in Safe and Trusted AI (STAI CDT) and the UKRI Centre for Doctoral Training in Machine Intelligence for Nano-Electronic Devices and Systems (MINDS CDT). The Summer School was chaired by Dr Francesco Belardinelli, senior lecturer at Imperial College London and deputy director of the STAI CDT.
🌟 Highlights from the Speaker Line-Up:
- Prof Kate Devlin (King’s College London) emphasised the essentialness of interdisciplinary collaboration for responsible AI and shared some experiences from the field.
- Prof David Parker (University of Oxford) illustrated how mathematical methods can be applied to AI systems, to make them more safe and secure.
- Dr Chenxi Whitehouse (Meta) offered a deep dive into the evaluation of large language models, bringing her experience from Meta, Amazon, and the University of Cambridge to discussions on trustworthy NLP.
- Dr Edgar Lopez-Rojas (RevAIsor) delivered an engaging talk about his experience as founder and CEO of FinTech company RevAIsor, which applies AI to fraud detection.
- Dr Stuart E. Middleton (University of Southampton) delivered an insightful tutorial on the foundations and latest development of LLMs explored, and reported on recent works on human and LLM interaction.
- Prof Amanda Prorok (University of Cambridge) gave a forward-looking lecture on the challenges of coordination in multi-agent systems and swarm robotics, with some exciting, real-world applications.
The event fostered vibrant discussions across disciplines—from technical verification methods to participatory ethics and the governance of AI in real-world systems.
Attendees enjoyed the opportunity to engage directly with thought leaders and peers working at the intersection of AI and society.
A Community of Future AI Leaders
The Safe and Trusted AI Summer School exemplified the mission of both CDT programmes: to train a new generation of researchers equipped not only with technical expertise but also with the tools to navigate the social, ethical, and regulatory dimensions of AI.
With Responsible AI at the forefront of national and global research agendas, events like this Summer School are key to building cross-disciplinary, collaborative communities equipped to tackle the complex challenges ahead.