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General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance (2023)
Journal Article
Triguero, I., Molina, D., Poyatos, J., Del Ser, J., & Herrera, F. (2024). General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Information Fusion, 103, Article 102135. https://doi.org/10.1016/j.inffus.2023.102135

Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solving a wide array of tasks without being specifically designed for them.... Read More about General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.

Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse (2023)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2023). Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data, 6, Article 1240660. https://doi.org/10.3389/fdata.2023.1240660

Introduction: The study of the brain continues to generate substantial volumes of data, commonly referred to as “big brain data,” which serves various purposes such as the treatment of brain-related diseases, the development of neurotechnological dev... Read More about Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.

Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis (2023)
Journal Article
Clark, J. R., Large, D. R., Shaw, E., Nichele, E., Galvez Trigo, M. J., Fischer, J. E., …Stanton, N. A. (2024). Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis. Applied Ergonomics, 114, Article 104152. https://doi.org/10.1016/j.apergo.2023.104152

Onboard virtual assistants with the ability to converse with users are gaining favour in supporting effective human-machine interaction to meet safe standards of operation in automated vehicles (AVs). Previous studies have highlighted the need to com... Read More about Identifying interaction types and functionality for automated vehicle virtual assistants: An exploratory study using speech acts cluster analysis.

An adaptive greedy heuristic for large scale airline crew pairing problems (2023)
Journal Article
Zeren, B., Özcan, E., & Deveci, M. (2024). An adaptive greedy heuristic for large scale airline crew pairing problems. Journal of Air Transport Management, 114, Article 102492. https://doi.org/10.1016/j.jairtraman.2023.102492

A crew pairing represents a sequence of flight legs that constitute a crew work allocation, starting and ending at the same crew base. A complete set of crew pairings covers all flight legs in the timetable of an airline for a given planning horizon.... Read More about An adaptive greedy heuristic for large scale airline crew pairing problems.

"The ChatGPT bot is causing panic now -but it'll soon be as mundane a tool as Excel": analysing topics, sentiment and emotions relating to ChatGPT on Twitter (2023)
Journal Article
Heaton, D., Clos, J., Nichele, E., & Fischer, J. E. (in press). "The ChatGPT bot is causing panic now -but it'll soon be as mundane a tool as Excel": analysing topics, sentiment and emotions relating to ChatGPT on Twitter. Personal and Ubiquitous Computing,

ChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 million monthly users; however, there are concerns about the social impact of... Read More about "The ChatGPT bot is causing panic now -but it'll soon be as mundane a tool as Excel": analysing topics, sentiment and emotions relating to ChatGPT on Twitter.

Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror (2023)
Journal Article
Dowthwaite, L., Reyes Cruz, G., Pena, A. R., Pepper, C., Jäger, N., Barnard, P., …Benford, S. (2023). Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror. Healthcare, 11(19), Article 2608. https://doi.org/10.3390/healthcare11192608

The home is becoming a key location for healthcare delivery, including the use of technology driven by autonomous systems (AS) to monitor and support healthcare plans. Using the example of a smart mirror, this paper describes the outcomes of focus gr... Read More about Examining the Use of Autonomous Systems for Home Health Support Using a Smart Mirror.

The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)
Journal Article
Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT – Exploring the ethical issues of an emerging technology. International Journal of Information Management, 74, Article 102700. https://doi.org/10.1016/j.ijinfomgt.2023.102700

This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies to undertake a systematic review of possible benefits and concerns. The... Read More about The ethics of ChatGPT – Exploring the ethical issues of an emerging technology.

Automated design of local search algorithms: Predicting algorithmic components with LSTM (2023)
Journal Article
Meng, W., & Qu, R. (2024). Automated design of local search algorithms: Predicting algorithmic components with LSTM. Expert Systems with Applications, 237(Part A), Article 121431. https://doi.org/10.1016/j.eswa.2023.121431

With a recently defined AutoGCOP framework, the design of local search algorithms has been defined as the composition of elementary algorithmic components. The effective compositions of the best algorithms thus retain useful knowledge of effective al... Read More about Automated design of local search algorithms: Predicting algorithmic components with LSTM.

Automated design of search algorithms based on reinforcement learning (2023)
Journal Article
Yi, W., & Qu, R. (2023). Automated design of search algorithms based on reinforcement learning. Information Sciences, 649, Article 119639. https://doi.org/10.1016/j.ins.2023.119639

Automated algorithm design has attracted increasing research attention recently in the evolutionary computation community. The main design decisions include selection heuristics and evolution operators in the search algorithms. Most existing studies,... Read More about Automated design of search algorithms based on reinforcement learning.

“It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes (2023)
Journal Article
Kraemer, M. J., Chalhoub, G., Webb, H., & Flechais, I. (2023). “It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes. International Journal of Human-Computer Studies, 180, Article 103138. https://doi.org/10.1016/j.ijhcs.2023.103138

In spite of research recognizing the home as a shared space and privacy as inherently social, privacy in smart homes has mainly been researched from an individual angle. Sometimes contrasting and comparing perspectives of multiple individuals, resear... Read More about “It becomes more of an abstract idea, this privacy” – Informing the design for communal privacy experiences in smart homes.

Calculating Compilers for Concurrency (2023)
Journal Article
Bahr, P., & Hutton, G. (2023). Calculating Compilers for Concurrency. Proceedings of the ACM on Programming Languages, 7(ICFP), 740-767. https://doi.org/10.1145/3607855

Choice trees have recently been introduced as a general structure for defining the semantics of programming languages with a wide variety of features and effects. In this article we focus on concurrent languages, and show how a codensity version of c... Read More about Calculating Compilers for Concurrency.

Deep Contrastive Representation Learning With Self-Distillation (2023)
Journal Article
Xiao, Z., Xing, H., Zhao, B., Qu, R., Luo, S., Dai, P., …Zhu, Z. (2024). Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1), 3-15. https://doi.org/10.1109/tetci.2023.3304948

Recently, contrastive learning (CL) is a promising way of learning discriminative representations from time series data. In the representation hierarchy, semantic information extracted from lower levels is the basis of that captured from higher level... Read More about Deep Contrastive Representation Learning With Self-Distillation.

Time to consider animal data governance: perspectives from neuroscience (2023)
Journal Article
Eke, D., Ogoh, G., Knight, W., & Stahl, B. (in press). Time to consider animal data governance: perspectives from neuroscience. Frontiers in Neuroinformatics, 17, Article 1233121. https://doi.org/10.3389/fninf.2023.1233121

Introduction: Scientific research relies mainly on multimodal, multidimensional big data generated from both animal and human organisms as well as technical data. However, unlike human data that is increasingly regulated at national, regional and int... Read More about Time to consider animal data governance: perspectives from neuroscience.

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.

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 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.

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.