Specialists with perspectives: ART-AI’s interdisciplinary professional experts make the best, and safest, use of artificial intelligence (AI) and explore the opportunities, challenges and constraints presented by the diverse range of contexts for AI.
The University of Bath Campus
ART-AI offers a uniquely interdisciplinary doctoral training approach, educating students from a range of backgrounds across computer science and artificial intelligence, engineering and technology, and humanities and social sciences.
ART-AI draws together a wide range of topics: from algorithms to ethics; robotics safety to computational and public policy; probabilistic machine learning to symbolic AI; provenance, transparency and uncertainty quantification to intelligibility and trust in heterogeneous intelligent systems; reinforcement learning to emotion in human-machine interaction; and many others.
An ICHEM Seminar entitled ‘Policy implications for using AI in teaching and assessment’ is taking place on the 17th June 2026 at the University of Bath. Register now.
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We are pleased to have Alex Modell, who is a mathematician and computer scientist at Imperial College London, join us for this joint AI/ML Group and ART-AI Seminar entitled ‘An introduction to mechanistic interpretability of large language models’ on Wednesday 17th June 2026.
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Register now for the Bath Machine Learning Summer School taking place at the University of Bath on the 5th-7th August 2026.
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