UKRI CDT in Accountable, Responsible and Transparent AI

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.


Study offers insights into why inequality and economic decline drive polarisation

Professor Joanna Bryson has co-authored a study showing why rebuilding trust in societies can be so challenging.

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Merry Christmas from ART-AI

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

The global AI standards landscape: an extended seminar, took place on 14th December and 15th December, 09.00-13.30

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Children, Data & Rights with Veronica Barassi

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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‘Responsible AI – What is it and how to achieve it?’ with Maria Axente, PWC UK

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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The Turing Presents: AI UK

A showcase featuring the very best of UK academic work in AI and machine learning

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