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 thrilled to announce that several ART-AI students have recently earned their PhDs!
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Cohort 2 student Brier Rigby Dames recently completed a research scholar position at Auburn University College of Veterinary Medicine and is now preparing to return to the UK for the final months of her PhD.
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You are invited to contribute a paper to the Nature Partner Journal (NPJ) Special Collection on AI and Machine Learning in Acoustic Signal Processing.
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This is a presentation and networking event designed for PhD students to expand their network by meeting other Data Science and AI students, sharing research and improve communication and presentation skills. This event is on 27th June 2025 at the University of Liverpool.
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ART-AI’s Director of Training & Academic Supervisor Marina De Vos is organising an invitation only seminar at Schloss Dagstuhl.
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This event, held at the University of Bath on 14th July 2025, will discuss what role remains for human knowledge in a world dominated by artificial intelligence and algorithms.
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