Enabling human-machine communication during co-creation

Successful creative collaboration with an AI agent is both exciting and highly challenging. This is because the experience of creating a novel artefact together with an AI agent is hindered by the lack of both understanding the reasoning of the agent as well as the ability to intervene and communicate during the creative process to unleash the full potential of an idea. We want to understand how humans and AI agents can communicate with each other during the creative process, the challenges around it and the issues it may arise.

This project involves research into models of human-machine co-creation in the arts where bidirectional communication channels play an intrinsic role in enhancing the interactions between humans and machines. By studying different communication mechanisms used during the creative process we aim to develop new models of human-machine co-creation that expand the possibilities for human creativity.

Required knowledge

Candidates should have a background in Computer Science and experience or a genuine interest in art and\or design. Experience in Explainable AI, Argumentation, Natural Language Processing or Machine Learning would be a plus but is not essential. PhD topics are open for discussion.


Dr. Maria Teresa Llano
Professor Jon McCormack


Further Reading

Maria Teresa Llano, Mark d’Inverno, Matthew Yee-King, Jon McCormack, Alon Ilsar, Alison Pease and Simon Colton. Explainable Computational Creativity. ICCC 2020.

Jon McCormack, Toby Gifford, Patrick Hutchings, Maria Teresa Llano, Matthew Yee-King and Mark d’Inverno (2019). In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound. Proceeding of ACM SIGCHI 2019. New York, NY: ACM.


All information about eligibility and how to apply can be found on the How to Apply webpage.