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Opening the black-box for Computational Creative Systems

Primary supervisor

Maria Teresa Llano


Research area


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. 

Learn more about minimum entry requirements.