Research Outputs

Our work is funded by UKRI grant reference number EP/S023437/1.

ART-AI’s mission is to help society benefit from better AI through two central pathways to impact:

1. Spreading awareness of issues and solutions through engagement with stakeholders and broader society.

2. Training graduates to be “specialists with perspectives”, with expert knowledge in their primary discipline coupled with knowledge of the broader issues arising from the use of AI.


Economic and Societal Impact

Our partners benefit from inclusion in our boards, workshops and seminars. Student placements offer an exchange of ideas and expertise, so their research has direct and immediate impact in industry, policy and society.

Impact on Policy and Standards

Through ART-AI’s advisors, partners and staff, we are connected to the British Computer Society, IEEE Standards Association, International Standards Organization (ISO) and European Commission High-Level Expert Group on Artificial Intelligence, providing for multi-directional flows of ideas and influence.

International and Academic Impact

Academic exchange visits and open workshops enable the flow and dissemination of ideas globally. We deliver conventional academic impact via conference attendance and publications.

Impact through Public Engagement

We need to explain the potential risks and benefits of AI to the public. Students receive bespoke training in public engagement and we use social media and lay articles to present our work to a wider audience and highlight our achievements.

Publications

R. Giles Harrison, Keri A. Nicoll, Graeme J. Marlton, Douglas J. Tilley, Pejman Iravani (2022) Ionic Charge Emission Into Fog From a Remotely Piloted Aircraft. Geophysical Research Letters 49 (19): e2022GL099827. https://doi.org/10.1029/2022GL099827

Oscar Bryan, Roy Edgar Hansen, Tom S. F. Haines, Narada Warakagoda, Alan Hunter (2022) Challenges of Labelling Unknown Seabed Munition Dumpsites From Acoustic and Optical Surveys: A Case Study at Skagerrak. Remote Sensing 14 (11): 2619. https://doi.org/10.3390/rs14112619

Anh Duc Do Tran, Dien Dinh, An-Vinh Luong, Thao Do (2022) Adapting Cross-lingual Model To Improve Vietnamese Dependency Parsing. Artificial Intelligence in Data and Big Data Processing: Proceedings of ICABDE 2021: 97–108. https://doi.org/10.1007/978-3-030-97610-1_9

Thao Do, Mina Chiang, Eric Kasper, Sharlene Chen (2022) Impact of Vietnam’s Covid-19 Response on Vulnerable Groups. Institute of Development Studies Policy Briefing 191. https://opendocs.ids.ac.uk/opendocs/handle/20.500.12413/17246

Xiaolong Wu, Guangye Li, Shize Jiang, Scott Wellington, Shengjie Liu, Zehan Wu, Benjamin Metcalfe, Liang Chen, and Dingguo Zhang (2022) Decoding Continuous Kinetic Information of Grasp from Stereo-electroencephalographic (SEEG) Recordings. Journal of Neural Engineering 19 (2): 026047. https://doi.org/10.1088/1741-2552/ac65b1

Toby Lewis-Atwell, Piers A. Townsend, and Matthew N. Grayson (2022) Comparing the Performances of Force Fields in Conformational Searching of Hydrogen-Bond-Donating Catalysts. Journal of Organic Chemistry 87 (9): 5703–5712. https://doi.org/10.1021/acs.joc.2c00066

Leen Jabban, Mafalda Ribeiro, Felipe Rettore Andreis, Thomas Gomes Nørgaard dos Santos Nielsen, Benjamin Metcalfe (2022) Pig Ulnar Nerve Recording with Sinusoidal and Temporal Interference Stimulation. Paper presented at 44th annual international conference of the IEEE in Medicine and Biology Conference.

Mafalda Ribeiro, Leen Jabban, Felipe Rettore Andreis, Thomas Gomes Nørgaard dos Santos Nielsen, Paulo Rocha, Benjamin Metcalfe (2022) An in-vitro system for closed loop neuromodulation of peripheral nerves. Paper presented at 44th annual international conference of the IEEE in Medicine and Biology Conference.

Mafalda Ribeiro, Kamil Wozniak, Felipe Rettore Andreis, Thomas Gomes Nørgaard dos Santos Nielsen, Benjamin Metcalfe (2022) Adaptation of the Two-CAP method for conduction velocity distribution estimation in multi-channel recordings. Paper presented at 44th annual international conference of the IEEE in Medicine and Biology Conference.

Toby Lewis-Atwell, Piers A. Townsend, Matthew N. Grayson (2021) Machine learning activation energies of chemical reactions. WIREs Computational Molecular Science: e1593. https://doi.org/10.1002/wcms.1593

Donal Egan, George Fletcher, Yiguo Qiao, Darren Cosker, Rachel McDonnell (2021) How to train your dog: Neural enhancement of quadruped animations. Proceedings – MIG 2021: 14th ACM SIGGRAPH Conference on Motion, Interaction, and Games. https://doi.org/10.1145/3487983.3488293

George Fletcher, Yiguo Qiao, Rebecca Fribourg, Jake Deane, Rachel McDonnell, Darren Cosker (2021) Exploring the Perception of Quadruped Motion Retargeting. 14th ACM SIGGRAPH Conference on Motion, Interaction and Games.

Catriona Gray (2021, May 5). Data Dispossession [Online]. The Sociological Reviewhttps://doi.org/10.51428/tsr.ilzc1791

Mafalda Ribeiro, Pamela Ali, Benjamin Metcalfe, Despina Moschou, and Paulo Rocha (2021) Microfluidics integration into low noise multi-electrode arrays. Micromachines 12 (6): 727. https://doi.org/10.3390/mi12060727

Alice Parfett, Stuart Townley, and Kristofer Allerfeldt (2021) AI-based healthcare: a new dawn or apartheid revisited? AI & Society 36: 983–999. https://doi.org/10.1007/s00146-020-01120-w

Chris E. Blenkinsopp, Paul M. Bayle, Daniel C. Conley, Gerd Masselink, Emily Gulson, Isabel Kelly, Rafael Almar, Ian L. Turner, Tom E. Baldock, Tomas Beuzen, Robert T. McCall, Huub Rijper, Ad Reniers, Peter Troch, David Gallach-Sanchez, Alan J. Hunter, Oscar Bryan, Gwyn Hennessey, Peter Ganderton, Marion Tissier, Matthias Kudella, and Stefan Schimmels (2021) High-resolution, large-scale laboratory measurements of a sandy beach and dynamic cobble berm revetment. Scientific Data 8 (1): 22. https://doi.org/10.1038/s41597-021-00805-1

Oscar Bryan, Paul M. Bayle, Christopher E. Blenkinsopp, Alan J. Hunter (2020). Breaking Wave Imaging Using Lidar and Sonar. IEEE Journal of Oceanic Engineering 45 (3): 887–897. https://doi.org/10.1109/JOE.2019.2900967

Mafalda Ribeiro, Paulo Rocha, and Benjamin Metcalfe (2020) An ultra-sensitive biosensor to investigate Random Telegraph Noise in human breast cancer cells. The 1st International Electronic Conference on Biosensors: 2 Nov 2020 → 17 Nov 2020. Proceedings 2019 3: x. https://sciforum.net/manuscripts/7223/manuscript.pdf

Mafalda Ribeiro, Aya Elghajiji, Scott P. Fraser, Zoë D. Burke, David Tosh, Mustafa B. A. Djamgoz and Paulo R. F. Rocha (2020) Human Breast Cancer Cells Demonstrate Electrical Excitability. Frontiers in Neuroscience 14: 404. https://doi.org/10.3389/fnins.2020.00404