Lun Ai

Doctoral candidate • Department of Computing • Imperial College London

My PhD focuses on effects of symbolic ML on human comprehension and machine-human teaching. I specialise in eXplainable AI (XAI) and Inductive Logic Programming (ILP).

Projects:

EPSRC Human-Like Computing (link)
EU Horizon TAILOR (link)
BBSRC AI-4-EB (link)

Supervisor: Prof. Stephen Muggleton (link)

Collaborators:

University of Bamberg (Cognitive System Group)
Imperial College London (Department of Life Science)

News

15.11.23	I presented “A Comprehensible Framework to Active Learning Genome-Scale Metabolic Networks”) at AAAI Fall Symposium on Artificial Intelligence for Synthetic Biology (Online).
14.11.23	I presented “Explanatory machine learning for sequential human teaching”) at The 3rd International Joint Conference on Learning and Reasoning, Bari, Italy (IJCLR2023).
2.11.23	I presented “Effects of explaining machine-learned logic programs for human comprehension and discovery”) at The Dagstuhl Seminar on Approaches and Applications of Inductive Programming, Schloss Dagstuhl, Germany.
26.9.23	I presented “Explanatory machine learning for sequential human teaching”) at Imperial College London explAIn Technical Workshop on Explainable AI, Interactivity, and Natural Language, London, UK.
27.3.23	I presented (abstract/slides) at AAAI Spring Symposium 2023 of Computational Approaches to Scientific Discovery, USA.