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.
Professor Joanna Bryson has co-authored a study showing why rebuilding trust in societies can be so challenging.
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ART-AI would like to wish everyone a Merry Christmas and Happy Holidays.
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The global AI standards landscape: an extended seminar, took place on 14th December and 15th December, 09.00-13.30
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This Integrative Think Tank (ITT) event is a collaboration between the ART-AI CDT, the SAMBa CDT, social policy science researchers, two institutions in Mexico (CIMAT and UNAM), and CENAPRED
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We are pleased to have Veronica Barassi, Professor of Media and Communications studies join us for our first ART-AI seminar of 2021, entitled ‘Children, Data & Rights’
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We are pleased to have Maria Axente from PWC UK join us for this ART-AI seminar, entitled ‘Responsible AI – What is it and how to achieve it?’
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