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A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study (2023)
Journal Article
Horne, K. L., Viramontes-Hörner, D., Packington, R., Monaghan, J., Shaw, S., Akani, A., …Selby, N. M. (2023). A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study. Kidney International, 104(6), 1185-1193. https://doi.org/10.1016/j.kint.2023.08.005

Acute kidney injury (AKI) is associated with adverse long-term outcomes, but many studies are retrospective, focused on specific patient groups or lack adequate comparators. The ARID (AKI Risk in Derby) Study was a five-year prospective parallel-grou... Read More about A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Conference Proceeding
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

Digitally Un/Free: the everyday impact of social media on the lives of young people (2023)
Journal Article
Bibizadeh, R. E., Procter, R., Girvan, C., Webb, H., & Jirotka, M. (in press). Digitally Un/Free: the everyday impact of social media on the lives of young people. Learning, Media and Technology, 1-14. https://doi.org/10.1080/17439884.2023.2237883

This article offers an original contribution to the crucial question of how digital media impacts children and young people’s everyday lives. Focus groups with young people aged 11–21 years, and interviews with teachers in schools in England revealed... Read More about Digitally Un/Free: the everyday impact of social media on the lives of young people.

Apartness, sharp elements, and the Scott topology of domains (2023)
Journal Article
de Jong, T. (2023). Apartness, sharp elements, and the Scott topology of domains. Mathematical Structures in Computer Science, 33(7), 573-604. https://doi.org/10.1017/S0960129523000282

Working constructively, we study continuous directed complete posets (dcpos) and the Scott topology. Our two primary novelties are a notion of intrinsic apartness and a notion of sharp elements. Being apart is a positive formulation of being unequal,... Read More about Apartness, sharp elements, and the Scott topology of domains.

Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project (2023)
Journal Article
Zhao, J., Patel, M., Inglesant, P., Portillo, V., Webb, H., Dowthwaite, L., …Jirotka, M. (2023). Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project. Journal of Responsible Technology, 15, Article 100064. https://doi.org/10.1016/j.jrt.2023.100064

Responsible Innovation (RI) aims to enable research and innovation to take a more systematic approach to anticipating potential risks and consequences of planned research/innovative outputs. The Anticipation, Reflection, Engagement and Action (AREA)... Read More about Navigating the labyrinth of RI through a practical application — A case study in a cross-disciplinary research project.

Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning (2023)
Journal Article
Aickelin, U., Khorshidi, H. A., Qu, R., & Charkhgard, H. (2023). Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. IEEE Transactions on Evolutionary Computation, 27(4), 746-748. https://doi.org/10.1109/tevc.2023.3292528

We are very pleased to introduce this special issue on multiobjective evolutionary optimization for machine learning (MOML). Optimization is at the heart of many machine-learning techniques. However, there is still room to exploit optimization in mac... Read More about Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning.

The #longcovid revolution: A reflexive thematic analysis (2023)
Journal Article
Turner, M., Beckwith, H., Spratt, T., Vallejos, E. P., & Coughlan, B. (2023). The #longcovid revolution: A reflexive thematic analysis. Social Science and Medicine, 333, Article 116130. https://doi.org/10.1016/j.socscimed.2023.116130

Research has identified long COVID as the first virtual patient-made condition (Callard and Perego, 2021). It originated from Twitter users sharing their experiences using the hashtag #longcovid. Over the first two years of the pandemic, long COVID a... Read More about The #longcovid revolution: A reflexive thematic analysis.

The Münchhausen Method in Type Theory (2023)
Journal Article
Altenkirch, T., Kaposi, A., Šinkarovs, A., & Végh, T. (2023). The Münchhausen Method in Type Theory. LIPIcs, 269, https://doi.org/10.4230/LIPIcs.TYPES.2022.10

In one of his long tales, after falling into a swamp, Baron Münchhausen salvaged himself and the horse by lifting them both up by his hair. Inspired by this, the paper presents a technique to justify very dependent types. Such types reference the ter... Read More about The Münchhausen Method in Type Theory.

Generative AI Considered Harmful (2023)
Conference Proceeding
Fischer, J. E. (2023). Generative AI Considered Harmful. In Proceedings of the 5th International Conference on Conversational User Interfaces (CUI '23). https://doi.org/10.1145/3571884.3603756

The recent months have seen an explosion of interest, hype, and concern about generative AI, driven by the release of ChatGPT. In this article I seek to explicate some potential and actual harms of the engineering and use of generative AI such as Cha... Read More about Generative AI Considered Harmful.

RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments (2023)
Conference Proceeding
Fuentes, C., Porcheron, M., & Fischer, J. E. (2023). RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments. In Proceedings of the 5th International Conference on Conversational User Interfaces (CUI '23). https://doi.org/10.1145/3571884.3597137

Building effective voice interfaces for the instruction of service robots in specialised environments is difficult due to the local knowledge of workers, such as specific terminology for objects and space, leading to limited data to train language mo... Read More about RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments.

ML meets MLn: machine learning in ligand promoted homogeneous catalysis (2023)
Journal Article
Hirst, J. D., Boobier, S., Coughlan, J., Streets, J., Jacob, P. L., Pugh, O., …Woodward, S. (2023). ML meets MLn: machine learning in ligand promoted homogeneous catalysis. Artificial Intelligence Chemistry, 1(2), Article 100006. https://doi.org/10.1016/j.aichem.2023.100006

The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised. We focus on the understanding and implementation of key concepts, which serve as condu... Read More about ML meets MLn: machine learning in ligand promoted homogeneous catalysis.

Sequential Rule Mining for Automated Design of Meta-heuristics (2023)
Conference Proceeding
Meng, W., & Qu, R. (2023). Sequential Rule Mining for Automated Design of Meta-heuristics. In GECCO’23 Companion: Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (1727-1735). https://doi.org/10.1145/3583133.3596303

With a recently defined AutoGCOP framework, the design of local search algorithms can be defined as the composition of the basic elementary algorithmic components. These compositions into the best algorithms thus retain useful knowledge of effective... Read More about Sequential Rule Mining for Automated Design of Meta-heuristics.

Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation (2023)
Conference Proceeding
Reyes-Cruz, G., Phypers, I., Boudouraki, A., Price, D., Fischer, J., Reeves, S., …Maior, H. (2023). Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597532

Mobile robotic telepresence (MRP) allows remote users' access and mobility in a range of local environments. MRP devices have been adopted in societally significant domains such as workplaces, museums, commerce, education, and healthcare, especially... Read More about Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation.

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Conference Proceeding
Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-5). https://doi.org/10.1145/3597512.3599700

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

A Practical Taxonomy of TAS-related Usecase Scenarios (2023)
Conference Proceeding
Masters, P., Young, V., Chamberlain, A., Weerawardhana, S., McKenna, P. E., Lu, Y., …Moreau, L. (2023). A Practical Taxonomy of TAS-related Usecase Scenarios. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597523

This paper proposes a taxonomy of experimental usecase scenarios to facilitate research into trustworthy autonomous systems (TAS). Unable to identify an open-access repository of usecases to support our research, the project team embarked on developm... Read More about A Practical Taxonomy of TAS-related Usecase Scenarios.

An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing (2023)
Conference Proceeding
Dowthwaite, L., Perez Vallejos, E., Portillo, V., Patel, M., Zhao, J., & Creswick, H. (2023). An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599708

Internet users often report feelings of stress, anxiety, and a lack of control, often related to uncertainty about the use of algorithms and autonomous systems (AS) behind what they encounter. This may lead to a loss of trust in the services, content... Read More about An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing.

Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities (2023)
Conference Proceeding
Cameron, H., Story, M., Reyes-Cruz, G., & Galvez Trigo, M. J. (2023). Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-5). https://doi.org/10.1145/3597512.3597525

The integration of robots into everyday life is an increasingly common and mundane phenomena. Understanding how people regard and interact with these robots is a rapidly growing area of study, however, there is limited consideration of the attitudes... Read More about Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities.

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress (2023)
Conference Proceeding
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2023). A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-4). https://doi.org/10.1145/3597512.3597530

Online misinformation is a serious problem that can have a negative impact on individuals, societies, and democracies. It can lead to the spread of false information, the erosion of trust in institutions, and the polarisation of political discourse.... Read More about A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Conference Proceeding
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023). Digital twins for human-assistive robot teams in ambient assisted living. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3597520

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice (2023)
Conference Proceeding
Portillo, V., Greenhalgh, C., Craigon, P. J., & Ten Holter, C. (2023). Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3599721

Researchers often find it hard to know where, when and how to start when applying Responsible Innovation approaches to their own research projects and proposals. Based on experience supporting a range of researchers and projects, we have developed a... Read More about Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice.