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.
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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The AI and Academic Integrity Workshop took place on the 2nd September at The British Library, London.
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Cohort 4’s Eoin Cremen has recently presented at the EGPROC at the Max Planck Institute for Human Development in Berlin, Germany.
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On the 25th September 2024 we are hosting a reinduction day for all student cohorts.
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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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Organised by The Alan Turing Institute, this annual two-day conference is for PhD students in data science and AI.
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