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.
The 1st Bath Machine Learning Summer School brought together attendees at the University of Bath for a programme of talks, learning and discussion around machine learning.
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The AI Sustainability Workshop took place on 21st October 2026.
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We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2025-26 Annual Report.
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We 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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The Third International Workshop on Formal Ethical Agents and Robots (FEAR) will be held on 3 November 2026 with a co-located tutorial scheduled for 2 November 2026, both at the Kilburn Building, University of Manchester. Submission Deadline: Monday, 3rd of August 2026.
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Register now for “AI, Ethics and Faith after Magnifica Humanitas” taking place on the 16th and 17th of November 2026 at Lambeth Palace.
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