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.
If you want to to learn more about the integrated MRes/PhD in Accountable, Responsible and Transparent AI at the University of Bath you can view our introductory webinar, recorded on the 22nd March 2021.
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ART-AI Student Akshil Patel reflects on his journey at the University of Bath so far.
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This year, due to the Pandemic, the AI challenge days on Wednesday 27th & Thursday 28th January 2021 were held online.
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ART-AI student Damian Ziubroniewicz, is presenting “Debiasing machine learning algorithms.” One of our academics, Dr Iulia Cioroianu is also chairing the afternoon session.
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You are invited to this ART-AI and CGR&IS (The Centre for Governance, Regulation and Industrial Strategy) virtual FinTech workshop taking place on 28th April 2021, 09.45am-15:00pm
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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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