Join our London Tech Week fringe event for a showcase of the latest innovations in AI and LLMs, robotics, cybersecurity, digital healthcare, education and more.

Researchers from King’s Department of Informatics and the UKRI Centre for Doctoral Training in Safe and Trusted AI (CDT) will demonstrate practical applications and discuss how their research addresses key economic, societal and environmental challenges. You’ll learn what we’re passionate about, see our research up close and meet the brilliant staff and students behind it.

Who is this event for?

The event is open to industry, public and third sectors with an interest in collaborating with King’s or the STAI CDT, or wishing to meet emerging talent for AI and tech industry roles.

What can I expect on the day?

You’ll hear from expert speakers from both academia and industry, who are tackling real‑world challenges around trustworthy, transparent, and reliable AI.

Beyond the talks, you’ll have the chance to experience the research first-hand through an interactive exhibition showcasing cutting‑edge work across Informatics and the CDT. Expect live demos, prototypes, posters, and conversations with the students and academics behind the research.

Whether you’re scouting future collaborators, looking for fresh ideas, or simply curious about what’s coming next in tech, this is your chance to plug into the innovation happening at King’s and in the STAI CDT. 

LearnLens

At this year’s Showcase, we'll hear an update on LearnLens, an AI-powered personalised assessment and feedback platform, now deployed in live educational settings at King’s and developed by members of King’s Department of Informatics, namely Yulan He, Jiazheng Li, Runcong Zhao and Zhihao Wu.

So far, two undergraduate modules have trialled the platform, recording over 5,000 student interactions and demonstrating measurable learning gains from the feedback provided.

Beyond higher education, the LearnLens team achieved first place in a biology exam assessment competition organised by AQA in early 2025, and in the same year, were awarded funding from the Department for Education as the only university recipient among 16 awardees.

County Council and Student Projects

Hear from Department of Informatics students who took part in our Impact Accelerator with AWS. Final‑year master’s students worked with public sector partners, Richmond and Wandsworth Councils, to develop digital solutions using AWS technology to support social care and strengthen Deprivation of Liberty Safeguards (DoLS). At the showcase, students and local councillors share their experiences and reflect on the impact of the project.

Department of Informatics

King’s Department of Informatics is home to 1,000 undergraduates, 500 postgraduates and 90 academics. Each year we collaborate with multiple companies and organisations from across industry and the public sector to deliver practical and impactful applications alongside fundamental research. We are amongst the top UK universities for educating AI talent and in carrying out interdisciplinary AI research.

Safe & Trusted AI (STAI)

The UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence – also known as the STAI CDT – is led by King’s College London in partnership with Imperial College London. It was established in 2019 with a £ 6.9 million investment from UKRI to equip PhD students with the skills and experience to develop AI that is safe, trusted and responsible.

• Safe – guarantees about the behaviour of the AI system.
• Trusted – well-placed confidence in the decisions made by the AI system.
• Responsible – the system has been developed with meaningful consideration of the societal, legal and environmental implications.

More than 80 PhD students across seven cohorts have already benefited from the STAI CDT training. Our students work with a wide range of companies, reflecting the impact AI is having across the economy. If you would like to find out more about how you might engage with this growing community of AI expertise, you can get in touch via stai-cdt@kcl.ac.uk.

Disclaimer:

For in-person events we operate a policy of overbooking, given drop-out rates. Please ensure you arrive in good time to avoid disappointment on the day.

Photography and videography:

The event you will be attending will have photography and videography. If you do not wish to appear in any recordings or photographs, please approach our registration team on the day of the event or email nmes-events@kcl.ac.uk before the event. Photographs and recordings taken may feature in our publications or on the King’s website and social media channels. All personal data will be processed in accordance with King’s privacy policy available on request or at www.kcl.ac.uk/terms/privacy.

Privacy notice:

We collect and process your personal information to help us manage and run the event. In accordance with the King’s College London Data Retention Schedule. To find out more about how the university deals with your personal information, including your rights, please see the university’s core privacy notice. Your personal information will be transferred to the United States via Eventbrite. Please read the article where you can find out more on how Eventbrite protects your data.

Alumni notice:

Alumni details will be passed onto the Alumni Office, who will hold your details to personalise your alumni supporter experience. If you would prefer not to hear from us, you can unsubscribe from all further communications at any time by emailing forever@kcl.ac.uk for information on how we use your details please see our privacy statement: Privacy policy | King’s alumni | King’s College London (kcl.ac.uk)