Training specialists with perspectives: ART-AI educates 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.
Robert Clarke, from cohort 3, has been busy in October attending training courses for his research, and writes about his recent visits.
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The UKRI Inter AI CDT Conference took place on the 7th and 8th November 2022 at the Bristol Hotel with the Interactive AI CDT, University of Bristol, and the Foundational AI CDT, UCL.
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We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2021-22 Annual Report.
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The annual ART-AI ‘AI Challenge Day’ will be held on Monday 30th January 2023, 09:00-17:00 (GMT) at the APEX City of Bath Hotel, James St W, Bath BA1 2DA.
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We are pleased to have Nirav Ajmeri, a Lecturer in Artificial Intelligence at the University of Bristol, join us for this joint ART-AI and University of Bath AI group seminar.
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We are pleased to have Maurice Chiodo, a research mathematician at the University of Cambridge and principal investigator of the Cambridge University Ethics in Mathematics Project, join us for this ART-AI seminar, entitled ‘How do ethical issues arise in AI development?’
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