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.
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.
We are so pleased to announce that cohort 1 student, Elsa Zhong, has passed her viva with minor corrections!
Read MoreElsa Zhong, cohort 1, has recently returned from Vancouver, Canada where she attended the 38th Annual AAAI Conference on Artificial Intelligence (AAAI) which took place on February 20th-27th.
Read MoreCohort 3 ART-AI student, Doug Tilley, has had a busy few months in Vienna and China. He writes about what he has been up to.
Read MoreWe are pleased to have Séb Krier, who is a Policy Development & Strategy Manager at Google DeepMind, join us for this ART-AI seminar on Tuesday 14th May 2024.
Read MoreJoin a full-day Conference on Wednesday 15th May 2024 at the Watershed, in Bristol.
Read More“AI, Ethics and Morality: Re-evaluating moral and systematic theology in light of Artificial Intelligence” will take place on Thursday 20th June 2024 at Lambeth Palace Library, London, SE1 7JU.
Read More