ART-AI Annual Report 2021-2022

We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2021-22 Annual Report.

We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2021-22 Annual Report.

Opening remarks from Eamonn O’Neill, Centre Director & Academic Supervisor;

“Welcome to the 2021-22 annual review of the University of Bath’s Centre for Doctoral Training (CDT) in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI).

It is a remarkable testament to the professionalism and ability of our students that over the last year we have achieved so much. Six out of nine students in cohort 1 have been on placement, despite the challenges of a global pandemic and decreased ability to travel. Our events programme has been strengthened by the increased use of hybrid and online meetings, allowing us to host speakers, and audience members, from across the world. I was also proud to see the 16 UKRI-funded AI CDTs across the United Kingdom come together in March 2022 for a workshop on diversity and inclusion in PhD student recruitment. We will continue to work closely with them, and are already planning joint events for the academic year ahead.

Life has been slowly returning to normal, and we are looking forward to a full return to campus from October 2022.

Once again, I would like to thank all our partners and staff for their work over the last year supporting our students, and for a job well done in often challenging circumstances.”

Keep Reading

Recording of ‘Mathematical imaging’ with Carola-Bibiane Schönlieb

Watch Carola-Bibiane Schönlieb's joint ART-AI and University of Bath AI group seminar now.

Read More

Robert Clarke’s Fellowship with BLAST Fest

Robert Clarke, from cohort 3, writes about his BLAST Media Fellowship.

Read More

Happy Ada Lovelace Day from all of us at ART-AI

To celebrate the achievements of women in STEM we have decided to showcase some of our own wonderful women involved in ART-AI. Enjoy watching our video! 

Read More

‘An interpretable machine learning workflow for statistical inference’ with Andreas Joseph

We are pleased to have Andreas Joseph, Senior Research Economist at the Bank of England, join us for this in-person ART-AI seminar.

Read More