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.
Our students took part in a 3 day residential Writing Retreat at the Ammerdown Retreat Centre this summer.
Read MoreWe are thrilled to announce that several ART-AI students have recently earned their PhDs!
Read MoreIf you have missed any of the latest ART-AI seminars you can catch up with the recordings here.
Read MoreThe International Conference on Scientific Computing and Machine Learning 2026 will take place at the University of Bath on the 14th-17th September 2026.
Read MoreRegister now for the AI Sustainability Workshop taking place at the University of Bath from 13:15 to 17:00 on 21st October 2026.
Read MoreWe are pleased to welcome Kris Lee, Founder and CEO of ArtSci AI, for this joint ART-AI and Centre for AI seminar, entitled “From Tacit to Explicit: The Art and Science of Accountable Human-Machine Teaming”, on Tuesday 27 October 2026, from 10:00am to 11:00am (GMT).
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