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.
We are pleased to have Dr. Jonathan R Wolpaw, who is a neurologist at the National Center for Adaptive Neurotechnologies (NCAN), join us for this joint IAH (Bath Institute for the Augmented Human) and ART-AI seminar entitled ‘Neurorehabilitation in the 21st Century’ on Tuesday 2nd June 2026.
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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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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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