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.
Cohort 4’s Eoin Cremen has had a busy June with presentations at two conferences in Ireland and a 10-day summer school in Berlin.
Read MoreThao Do recently facilitated a workshop hosted by the Council of Europe’s Conference on Empowering Change.
Read MoreWe are pleased to have Jessica Woodgate, who is a PhD student at the University of Bristol in the department of computer science, join us for this ART-AI seminar entitled ‘Ethical Decision-Making in Multi-Agent Systems’ on 4th September 2025.
Read MoreThe 18th SAGT will be held at the University of Bath in Bath, UK, on 2-5 September 2025.
Read MoreWe are pleased to have Joris Hulstijn, who is an assistant professor in the Department of Information Sciences at Utrecht University, join us for this ART-AI seminar entitled ‘Epistemic Injustice and Government Information Systems’ on 14th October 2025.
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