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.
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.
Our ART-AI students have been making the most of attending online conferences during the pandemic. Elsa Zhong talks about her recent experience at the 24th European Conference on Artificial Intelligence.Read More
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.