Skip to main content

Research Repository

Advanced Search

All Outputs (1993)

AI and the Iterable Epistopics of Risk (2024)
Journal Article
Crabtree, A., McGarry, G., & Urquhart, L. (in press). AI and the Iterable Epistopics of Risk. AI & Society,

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.

Calculating Compilers Effectively (2024)
Presentation / Conference Contribution
Garby, Z., Hutton, G., & Bahr, P. (2024, September). Calculating Compilers Effectively. Presented at ACM SIGPLAN Haskell Symposium 2024, Milan, Italy

Much work in the area of compiler calculation has focused on pure languages. While this simplifies the reasoning, it reduces the applicability. In this article, we show how an existing compiler calculation methodology can be naturally extended to lan... Read More about Calculating Compilers Effectively.

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.

Beyond Trees: Calculating Graph-Based Compilers (2024)
Journal Article
Bahr, P., & Hutton, G. (in press). Beyond Trees: Calculating Graph-Based Compilers. Proceedings of the ACM on Programming Languages,

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.

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.

Predicting Acute Pain Levels Implicitly from Vocal Features (2024)
Presentation / Conference Contribution
Williams, J., Schneiders, E., Card, H., Seabrooke, T., Pakenham-Walsh, B., Azim, T., Valls-Reed, L., Vigneswaran, G., Bautista, J. R., Chandra, R., & Farahi, A. (2024, September). Predicting Acute Pain Levels Implicitly from Vocal Features. Presented at Interspeech 2024, Kos Island, Greece

Evaluating pain in speech represents a critical challenge in high-stakes clinical scenarios, from analgesia delivery to emergency triage. Clinicians have predominantly relied on direct verbal communication of pain which is difficult for patients with... Read More about Predicting Acute Pain Levels Implicitly from Vocal Features.

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.

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.

"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.

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.

“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 (2024)
Journal Article
Heaton, D., Clos, J., Nichele, E., & Fischer, J. E. (2024). “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, https://doi.org/10.1007/s00779-024-01811-x

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.

Designing Multispecies Worlds for Robots, Cats, and Humans (2024)
Presentation / Conference Contribution
Schneiders, E., Benford, S., Chamberlain, A., Mancini, C., Castle-Green, S., Ngo, V., …Fischer, J. (2024). Designing Multispecies Worlds for Robots, Cats, and Humans. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA (1-16). https://doi.org/10.1145/3613904.3642115

We reflect on the design of a multispecies world centred around a be-spoke enclosure in which three cats and a robot arm coexist for six hours a day during a twelve-day installation as part of an artist-led project. In this paper, we present the proj... Read More about Designing Multispecies Worlds for Robots, Cats, and Humans.

Jess+: AI and robotics with inclusive music-making (2024)
Presentation / Conference Contribution
Vear, C., Hazzard, A., Moroz, S., & Benerradi, J. (2024). Jess+: AI and robotics with inclusive music-making. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (1-17). https://doi.org/10.1145/3613904.3642548

This paper discusses the findings from a cross-sector research project investigating how a digital score created using AI and robotics might stimulate new creative opportunities and relationships within the practices of an inclusive music ensemble. T... Read More about Jess+: AI and robotics with inclusive music-making.

Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space (2024)
Presentation / Conference Contribution
Benford, S. D., Mancini, C., Chamberlain, A., Schneiders, E., Castle-Green, S. D., Fischer, J. E., …Row Farr, J. (2024). Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3613904.3641994

While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royal... Read More about Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

Insights Into Legacy: Issues of Handover from a Partner-Initiated Project (2024)
Presentation / Conference Contribution
Thorn, E., Spence, J., Koleva, B., & Benford, S. D. (2024). Insights Into Legacy: Issues of Handover from a Partner-Initiated Project. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3613904.3642620

We report on a six-year collaboration with a small community organisation to develop and deploy a permanent physical / digital locative media experience as part on an ongoing community regeneration project. We describe how this unfolded over four pha... Read More about Insights Into Legacy: Issues of Handover from a Partner-Initiated Project.

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration (2024)
Presentation / Conference Contribution
Schneiders, E., Fourie, C., Celestin, S., Shah, J., & Jung, M. (2024). Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA (1-13). https://doi.org/10.1145/3613904.3642427

Successful entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this paper, we present a mixed-method study to investigate characteristics of successful entrainment leading t... Read More about Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration.