This UK national workshop brings together chemistry educators, students, and policy leads to accelerate the integration of Generative AI (GenAI) methods in chemistry education. Building on last year’s event, the focus moves decisively beyond abstract debate toward classroom-ready practice, shared resources, and cross-institutional learning.
Aligned with the AIchemy Hub mission, the workshop will advance the UK-wide conversation through three interconnected themes that reflect real teaching, learning, and institutional needs:
Practical implementation of GenAI in chemistry teaching and laboratories
Explore how AI can be meaningfully embedded into undergraduate teaching and laboratory practice. Sessions will focus on the co-design of AI-integrated experiments, inclusive laboratory tools, and transferable teaching resources. Participants will contribute to shaping a shared repository of AI-enabled laboratory and assessment activities.
AI in assessment, feedback, and curriculum design
Examine how AI can act as a co-pilot for educators, supporting assessment design, feedback generation, curriculum review, and bias reduction. This theme supports the development of shared tools and best practice to help bridge the AI–chemistry skills gap for both staff and students.
Institutional strategy, policy, and ethics grounded in real practice
Engage with institution-level strategies and ethical frameworks for the responsible use of GenAI in chemistry education. By comparing approaches across UK universities, this strand will highlight shared principles, practical challenges, and transferable exemplars to support ethical implementation in teaching and assessment.
Call for Lightning Talk Abstracts
We invite submissions for short lightning talks that showcase practical and innovative uses of AI in chemistry education. This is an opportunity to share your practice, ideas, and lessons learned with colleagues from across the UK, and to contribute to a growing national conversation on how AI is shaping chemistry teaching and learning.
We particularly welcome abstracts featuring case studies from teaching practice, AI-enabled laboratory experiments, assessment and feedback approaches, curriculum design initiatives, and student–staff co-created projects.
During registration, you will be able to indicate your interest in giving a lightning talk and submit a short abstract, after which the organising team will be in touch with further details. The deadline for lightning talk submissions is 1 May 2026.
Who Should Attend:
This workshop is aimed at academics working in chemistry with an interest in teaching and education, as well as teachers and staff from colleges and secondary schools who want to better understand future university pathways for their students. It will also be valuable for anyone seeking insight into how artificial intelligence is shaping the next generation of chemistry education across the UK.
What you’ll gain:
- Gain insight into the current UK higher-education curriculum landscape for AI in chemistry
- Understand how GenAI is being implemented across undergraduate and postgraduate taught courses, in both lectures and laboratories
- Explore challenges, risks, and opportunities in real-world adoption
- Develop ideas for new lab-based experiments and training using AI methods such as machine learning (ML), convolutional neural networks (CNNs), and Bayesian optimisation (BO)
Speakers– To be Announced
Contact Details
For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk
The Organising Committee
| AIchemy Hub | University of Warwick | University of Glasgow |
| Dr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool) Dr. Chris Mellor (Imperial) Aysel Sarzosa Llerena (Imperial) | Tom Ritchie Dr Dani Pearson | Dr Ciorsdaidh Watts |