ART-AI Annual Report 2020-2021

We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2020-21 Annual Report.

We are pleased to publish the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) 2020-21 Annual Report.

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

“Welcome to the 2020-21 annual review of the University of Bath’s Centre for Doctoral Training (CDT) in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI). Within a year of our launch, the Covid pandemic forced us to move our events and training online and it was only over this summer (2021) that we have been able to hold a few in-person events. Nonetheless, we’ve had an exciting and productive year. We look forward over the next academic year to gradually increasing the number of face to face meetings and events, obviously while taking sensible precautions as we do so.


Our third cohort started in September 2021 and at 18 students is the largest cohort we have recruited so far. We received over 250 applications so our new intake represents the best of the best. I am certain that they will prosper and succeed just as their predecessors in our first two cohorts.


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

‘Celebrating Ada Lovelace Day’ an ART-AI Spotlight on Equality, Diversity and Inclusivity Seminar

View the recording of the 'Celebrating Ada Lovelace Day' seminar which took place on the 12th October 2021, Ada Lovelace Day.

Read More

ART-AI Induction 2021

We welcomed our 3rd cohort of students to the UKRI CDT in ART-AI this month.

Read More

‘Celebrating Ada Lovelace Day’ an ART-AI Spotlight on Equality, Diversity and Inclusivity Seminar

The CDT in ART-AI are celebrating Ada Lovelace Day on the 12th October 2021 with a seminar as part of our ‘ART-AI Spotlight on Equality, Diversity and Inclusivity series’.

Read More

‘Uncertainty Modelling & Inference with Applications From Bayesian Computation to Deep Learning’ with Bin Liu

We are pleased to have Dr. Bin Liu, Director of the Research Centre of Applied Mathematics and Machine Intelligence at Zhejiang Lab, join us for this ART-AI seminar.

Read More