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.
To mark ADA Lovelace day, ART-AI caught up with three of our women alumni to find out what they have been doing since completing their PhDs with us!
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We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2024-25 Annual Report.
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We are pleased to have Daniel Polani, who is Professor of Artificial Intelligence at the School of Physics, Engineering and Computer Science at the University of Hertfordshire, join us for this ART-AI seminar on the 18th November 2025.
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We are pleased to have Shahzia Holtom, Global Head of Technical Excellence at Microsoft, join us for this ART-AI Spotlight on Equity, Diversity and Inclusivity Seminar on 9th December 2025.
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The annual ART-AI ‘AI Challenge Day’ will take place on Monday 26th January 2026, 09:00-17:00 (GMT) at the APEX City of Bath Hotel, James St W, Bath BA1 2DA.
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