UKRI CDT in Accountable, Responsible and Transparent AI

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.

 

News

New ART-AI seminar videos

If you have missed any of the latest ART-AI seminars you can catch up with the recordings here.

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ART-AI students graduate!

Congratulations to our recent ART-AI graduates.

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Rewatch the AI Ethics & Faith Event

The AI Ethics and Faith Event took place on Tuesday 20 January 2026 at Lambeth Palace, London, SE1 7JU.

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Events

Missing Data Imputation by Reducing Mutual Information with Rectified Flows with Song Liu

We are pleased to have Dr. Song Liu, Associate Professor in Data Science and AI in the University of Bristol’s School of Mathematics, join us for this joint ART-AI Seminar & AI / ML group seminar on the 22nd April 2026.

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ICHEM Seminar Series: Policy implications for using AI in teaching and assessment

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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International Conference on Scientific Computing and Machine Learning 2026

The International Conference on Scientific Computing and Machine Learning 2026 will take place at the University of Bath on the 14th-17th September 2026.

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