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.

Building AI at scale for travel with Conor Worthington

We are pleased to have Conor Worthington, who is a Machine Learning Scientist working for Expedia Group, Inc., join us for this ART-AI seminar entitled ‘Building AI at scale for travel’ on 10th June 2025.

Interdisciplinary AI Workshop

As part of the ART-AI Spotlight on Equity, Diversity and Inclusivity series ART-AI students Ben Rogers and Joshua Tenn are hosting an Interdisciplinary AI Workshop.

Algorithmic Recommendations: What’s the problem? with Silvia Milano

We are pleased to have Silvia Milano, who is a Humboldt Fellow in the Munich Center for Mathematical Philosophy at LMU Munich and a Senior Lecturer in Philosophy at the University of Exeter (UK), join us for this ART-AI seminar entitled ‘Algorithmic Recommendations: What’s the problem?’ on 17th June 2025.