All Outputs (2039)

Impact over metrics: Turing and the ultimate contribution of cryptology (2024)
Journal Article
Furnell, S. (in press). Impact over metrics: Turing and the ultimate contribution of cryptology. Computer Journal,

Amongst his many lasting contributions, Alan Turing’s name is strongly linked to the domain of cryptology, particularly due to his pioneering wartime work in cryptanalysis. However, the fact that his work remained classified until many years later ha... Read More about Impact over metrics: Turing and the ultimate contribution of cryptology.

A Call to Action: Designing a more transparent online world for children and young people (2024)
Journal Article
Portillo, V., Dowthwaite, L., Creswick, H., Vallejos, E. P., Ten Holter, C., Koene, A., Jirotka, M., & Zhao, J. (2024). A Call to Action: Designing a more transparent online world for children and young people. Journal of Responsible Technology, 19, Article 100093. https://doi.org/10.1016/j.jrt.2024.100093

This paper reports on a qualitative research study that explored the practical and emotional experiences of young people aged 13–17 using algorithmically-mediated online platforms. It demonstrates an RI-based methodology for responsible two-way dialo... Read More about A Call to Action: Designing a more transparent online world for children and young people.

Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl) (2024)
Journal Article
Bahr, P., & Hutton, G. (2024). Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl). Proceedings of the ACM on Programming Languages, 8(ICFP), 370-394. https://doi.org/10.1145/3674638

Bahr and Hutton recently developed an approach to compiler calculation that allows a wide range of compilers to be derived from specifications of their correctness. However, a limitation of the approach is that it results in compilers that produce tr... Read More about Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl).

Gase: graph attention sampling with edges fusion for solving vehicle routing problems (2024)
Journal Article
Wang, Z., Bai, R., Khan, F., Özcan, E., & Zhang, T. (2024). Gase: graph attention sampling with edges fusion for solving vehicle routing problems. Memetic Computing, 16(3), 337–353. https://doi.org/10.1007/s12293-024-00428-0

Learning-based methods have become increasingly popular for solving vehicle routing problems (VRP) due to their near-optimal performance and fast inference speed. Among them, the combination of deep reinforcement learning and graph representation all... Read More about Gase: graph attention sampling with edges fusion for solving vehicle routing problems.

Insights from explainable AI in oesophageal cancer team decisions (2024)
Journal Article
Thavanesan, N., Farahi, A., Parfitt, C., Belkhatir, Z., Azim, T., Vallejos, E. P., Walters, Z., Ramchurn, S., Underwood, T. J., & Vigneswaran, G. (2024). Insights from explainable AI in oesophageal cancer team decisions. Computers in Biology and Medicine, 180, Article 108978. https://doi.org/10.1016/j.compbiomed.2024.108978

Background
Clinician-led quality control into oncological decision-making is crucial for optimising patient care. Explainable artificial intelligence (XAI) techniques provide data-driven approaches to unravel how clinical variables influence this de... Read More about Insights from explainable AI in oesophageal cancer team decisions.

Decoding AI in Contemporary Art: A Five-Trope Classification for Understanding and Categorisation (2024)
Journal Article
Salimbeni, G., Benford, S., Reeves, S., & Martindale, S. (2024). Decoding AI in Contemporary Art: A Five-Trope Classification for Understanding and Categorisation. Leonardo, 57(4), 415–421. https://doi.org/10.1162/leon_a_02546

The article presents a historical overview of the classification of contemporary artworks that either have utilized artificial intelligence as a tool in their creation or focus on AI as their central theme or subject matter. The authors analyze artwo... Read More about Decoding AI in Contemporary Art: A Five-Trope Classification for Understanding and Categorisation.

AI and the iterable epistopics of risk (2024)
Journal Article
Crabtree, A., McGarry, G., & Urquhart, L. (2024). AI and the iterable epistopics of risk. AI & Society, https://doi.org/10.1007/s00146-024-02021-y

The risks AI presents to society are broadly understood to be manageable through ‘general calculus’, i.e., general frameworks designed to enable those involved in the development of AI to apprehend and manage risk, such as AI impact assessments, ethi... Read More about AI and the iterable epistopics of risk.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra (2024)
Journal Article
Kok, Y. E., Crisford, A., Parkes, A., Venkateswaran, S., Oreffo, R., Mahajan, S., & Pound, M. (2024). Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra. Scientific Reports, 14(1), Article 15902. https://doi.org/10.1038/s41598-024-66857-6

Raman spectroscopy is a rapid method for analysing the molecular composition of biological material. However, noise contamination in the spectral data necessitates careful pre-processing prior to analysis. Here we propose an end-to-end Convolutional... Read More about Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra.

On symmetries of spheres in univalent foundations (2024)
Presentation / Conference Contribution
Cagne, P., Buchholtz, U. T., Kraus, N., & Bezem, M. (2024, July). On symmetries of spheres in univalent foundations. Presented at LICS '24: 39th Annual ACM/IEEE Symposium on Logic in Computer Science, Tallinn

Working in univalent foundations, we investigate the symmetries of spheres, i.e., the types of the form Sn = Sn. The case of the circle has a slick answer: the symmetries of the circle form two copies of the circle. For higher-dimensional spheres, th... Read More about On symmetries of spheres in univalent foundations.

ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection (2024)
Journal Article
Geng, J., Gao, H., Huang, B., Radenkovic, M., & Chen, G. (2024). ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 11997-12007. https://doi.org/10.1109/jstars.2024.3419175

Ocean eddies have a significant impact on marine ecosystems and the climate because they transport essential substances in the ocean. Detection of ocean eddies has become one of the most active topics in physical ocean research. In recent years, rese... Read More about ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection.

Telepresence Robots for Remote Participation in Higher Education (2024)
Presentation / Conference Contribution
Hu, J., Reyes Cruz, G., Fischer, J., & Maior, H. A. (2024, June). Telepresence Robots for Remote Participation in Higher Education. Presented at CHIWORK 2024, Newcastle upon Tyne, UK

Telepresence robotics enable people to synchronously communicate and interact at a distance. The Covid-19 pandemic caused in-person teaching and research activities to migrate online in almost all society sectors (including higher education). In hybr... Read More about Telepresence Robots for Remote Participation in Higher Education.

Towards sentience: A path through jazz, datasets and digital scores (2024)
Presentation / Conference Contribution
Poltronieri, F., & Vear, C. (2024, June). Towards sentience: A path through jazz, datasets and digital scores. Paper presented at International Symposium of Electronic Art 2024, Brisbane, Australia

This short paper is a provocation in which we lean into the notion of sentience in Creative-AI music. The purpose of this is to highlight that a critical component when using bucket terms such as ”creativity”, ”intelligence” or ”sentience” in the des... Read More about Towards sentience: A path through jazz, datasets and digital scores.

From Corporate Digital Responsibility to Responsible Digital Ecosystems (2024)
Journal Article
Stahl, B. C. (2024). From Corporate Digital Responsibility to Responsible Digital Ecosystems. Sustainability, 16(12), Article 4972. https://doi.org/10.3390/su16124972

The significant and rapidly growing impact that digital technologies has on all aspects of our lives has raised awareness of benefits but also concerns and worries linked to the development and use of these technologies. The concept of responsibility... Read More about From Corporate Digital Responsibility to Responsible Digital Ecosystems.

CUDA-based parallel local search for the set-union knapsack problem (2024)
Journal Article
Sonuç, E., & Özcan, E. (2024). CUDA-based parallel local search for the set-union knapsack problem. Knowledge-Based Systems, 299, Article 112095. https://doi.org/10.1016/j.knosys.2024.112095

The Set-Union Knapsack Problem (SUKP) is a complex combinatorial optimisation problem with applications in resource allocation, portfolio selection, and logistics. This paper presents a parallel local search algorithm for solving SU... Read More about CUDA-based parallel local search for the set-union knapsack problem.

"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions (2024)
Presentation / Conference Contribution
Reyes-Cruz, G., Craigon, P., Piskopani, A.-M., Dowthwaite, L., Lu, Y., Lisinska, J., …Fischer, J. (2024). "Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions. . https://doi.org/10.1145/3630106.3658904

Radical and disruptive interventions are needed to reach "Net Zero" by 2050 to avert the climate catastrophe. Although governments, companies, cities, and institutions have pledged to take action and reduce their carbon emissions, the idea of persona... Read More about "Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions.

Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots (2024)
Book Chapter
Thoduka, S., Nair, D., Caleb-Solly, P., Dragone, M., Cavallo, F., & Hochgeschwender, N. (2024). Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots. In M. I. Aldinhas Ferreira (Ed.), Producing Artificial Intelligent Systems: The Roles of Benchmarking, Standardisation and Certification (31-51). Springer. https://doi.org/10.1007/978-3-031-55817-7_3

Trustworthy evaluation of robots is necessary for them to be deployed and accepted in society. Scientific benchmarking competitions provide a way to evaluate robots outside of lab conditions. We propose a progressive and iterative benchmarking proces... Read More about Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots.

Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context (2024)
Journal Article
Taher, R., Bhanushali, P., Allan, S., Alvarez-Jimenez, M., Bolton, H., Dennison, L., …Yiend, J. (2024). Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context. BJPsych Open, 10(4), Article e126. https://doi.org/10.1192/bjo.2024.713

Background
Digital Mental Health Interventions (DMHIs) that meet the definition of a medical device are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. The MHRA uses procedures that were originally developed fo... Read More about Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context.

Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance (2024)
Journal Article
Wakunuma, K., & Eke, D. (2024). Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance. Philosophies, 9(3), Article 80. https://doi.org/10.3390/philosophies9030080

This paper examines the impact and implications of ChatGPT and other generative AI technologies within the African context while looking at the ethical benefits and concerns that are particularly pertinent to the continent. Through a robust analysis... Read More about Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance.

Assessing Cyber Security Support for Small and Medium-Sized Enterprises (2024)
Presentation / Conference Contribution
Khan, N., Furnell, S., Bada, M., Nurse, J. R., & Rand, M. (2024, July). Assessing Cyber Security Support for Small and Medium-Sized Enterprises. Presented at 18th International Symposium on Human Aspects of Information Security and Assurance, Skovde, Sweden

Small and Medium-Sized Enterprises (SMEs) share many of the same cyber security needs and challenges as larger organisations, but often have significantly less knowledge and capability to deal with them. One of the fundamental issues can be where to... Read More about Assessing Cyber Security Support for Small and Medium-Sized Enterprises.