ART-AI exists to educate interdisciplinary professional experts to make the best, and safest, use of artificial intelligence (AI) and to 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, recruiting 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.
Elsa Zhong, ART-AI cohort 1 student, writes about her participation in a United Nations Development Programme Competition.
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ART-AI student, Thao Do, has recently come back from the 3rd UN World Data Forum 2021 and has written about her experience.
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We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2020-21 Annual Report.
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We are pleased to have Simon Pearson, Director of LIAT (The Lincoln Institute for Agri-Food Technology) join us for this ART-AI seminar.
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The Interpretability, safety, and security in AI conference is being organised by The Alan Turing Institute on the 13th – 15th December.
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We are pleased to have Gillian Arnold, Managing Director of Tectre Ltd, join us for this ART-AI Spotlight on Equality, Diversity and Inclusivity Seminar.
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