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.
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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Joshua Tenn writes about his experience at the 7th Summer School on Computational Modelling of Cognition & 2024 EADM Summer School on LLMs in Behavioural Science.
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Scott Wellington, from cohort 2, has recently returned from Orlando, Florida where he was presenting some research at the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
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This presentation and networking event is designed for PhD students to expand their network by meeting other AI and Data Science students.
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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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