UKRI CDT in Accountable, Responsible and Transparent AI

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.

News

AI and Machine Learning in Acoustic Signal Processing

You are invited to contribute a paper to the Nature Partner Journal (NPJ) Special Collection on AI and Machine Learning in Acoustic Signal Processing.

Douglas Tilley in Tokyo at the National Institute of Informatics [Japan]

Doug Tilley from Cohort 3 has recently come back from Tokyo and writes about his experience here.

Joseph Marvin Imperial at the Annual AAAI Conference on Artificial Intelligence

Cohort 4’s Joseph Marvin Imperial has just come back from the Annual AAAI Conference on Artificial Intelligence (AAAI) and writes about his experience.

Peer Review in the Age of Large Language Models

The ‘Peer Review in the Age of Large Language Models’ workshop is taking place on 14th May 2025 at the University of Bath.

AI Ethics, Risks, and Safety Conference

The second edition of the AI Ethics, Risks, and Safety Conference will be held on Thursday 15th of May, in Bristol.

Making your own path – how cells steer themselves to spread cancer, control immunity and even solve mazes with Robert Insall

We are pleased to have Professor Robert Insall, who is a Professor of Computational Cell Biology at UCL, join us for this joint ART-AI & Consortium for Precision Health seminar entitled ‘Making your own path – how cells steer themselves to spread cancer, control immunity and even solve mazes’ on the 20th May 2025.