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 celebrate the achievements of women in STEM we have decided to showcase some of our own wonderful women in Cohort 5 of the CDT in ART-AI. Enjoy watching our video!
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We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2023-24 Annual Report.
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Cohort 5’s Miles Pemberton will be hosting a workshop at this year’s One Young World summit in Montreal this September.
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This year we are holding our CDT Conference event at the M-Shed in Bristol on Monday 4th November.
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Organised by The Alan Turing Institute, this annual two-day conference is for PhD students in data science and AI.
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We are pleased to have Professor Roberto Desimone, who is Director of Plantagenet Systems, join us for this ART-AI seminar entitled ‘Emerging AI and quantum technology solutions – how they might enable more complex applications’ on the 27th November.
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