Outputs (61)

Accidental Paradise (2025)
Exhibition / Performance

A collaboration with Artist Young In Hong, Accidental Paradise uses machine learning to map Hong's reading performance of her text to vocalizations by red crowned cranes. Some text from the exhibition is below.

Accidental Paradise, installed in a... Read More about Accidental Paradise.

Artificial intelligence harm and accountability by businesses: A systematic literature review (2025)
Presentation / Conference Contribution

This study reviews the literature on artificial intelligence (AI) harms caused by businesses, their impact on stakeholders, and the available remedial mechanisms. Using the PRISMA method, relevant articles were sourced from the Scopus database and cr... Read More about Artificial intelligence harm and accountability by businesses: A systematic literature review.

Creative deviation: Reclaiming agency in the age of generative aesthetics (2025)
Presentation / Conference Contribution

This paper examines the evolving relationship between human creativity and technological derivative creation through a practice-based research project inspired by Philip K. Dick's "Pay for the Printer" (1956). In this speculative work, Dick portrays... Read More about Creative deviation: Reclaiming agency in the age of generative aesthetics.

Transforming disaster risk reduction with AI and Big Data: Legal and interdisciplinary perspectives (2025)
Journal Article

Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. It is essential to explore how AI enhances understand... Read More about Transforming disaster risk reduction with AI and Big Data: Legal and interdisciplinary perspectives.

Deep Huber quantile regression networks (2025)
Journal Article

Typical machine learning regression applications aim to report the mean or the median of the predictive probability distribution, via training with a squared or an absolute error scoring function. The importance of issuing predictions of more functio... Read More about Deep Huber quantile regression networks.

Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning (2025)
Journal Article

The short-term air quality forecasting models serve as an early warning system for local agencies, aiding in preparing mitigation strategies against severe pollution episodes. This paper explores the application of Transfer Learning to enhance short-... Read More about Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning.

Decision support for building thermal comfort monitoring with a sustainable GenAI system (2025)
Presentation / Conference Contribution

Staff expenses can account for up to 70% of business costs, with indoor conditions playing a critical role in employee health, behavior, and productivity. Optimal thermal comfort, typically around 21°C with 40-70% humidity, maximizes productivity. Ho... Read More about Decision support for building thermal comfort monitoring with a sustainable GenAI system.

Domain-specific implications of error-type metrics in risk-based software fault prediction (2025)
Journal Article

In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on the varyi... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Exploring pedagogies, opportunities and challenges of teaching and learning programming in business school (2024)
Journal Article

Purpose
This study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and... Read More about Exploring pedagogies, opportunities and challenges of teaching and learning programming in business school.

Blockchain adoption in the port industry: A systematic literature review (2024)
Journal Article

The global port industry, known for its historical resistance to technological advancements, now faces a pivotal moment in the age of blockchain innovation. This systematic literature review provides an in-depth investigation into the adoption of blo... Read More about Blockchain adoption in the port industry: A systematic literature review.

Modelling generalised symmetry in neural networks (2024)
Presentation / Conference Contribution

Responding to the relationships between stimuli (i.e., relational responding) plays a central role in human intelligence (Colbert, 2017, Cassidy, 2016). Decades of psychological research have shown how relational responding behaviour is first learned... Read More about Modelling generalised symmetry in neural networks.

Neurons as autoencoders (2024)
Journal Article

This letter presents the idea that neural backpropagation is exploiting dendritic processing to enable individual neurons to perform autoencoding. Using a very simple connection weight search heuristic and artificial neural network model, the effects... Read More about Neurons as autoencoders.

On recombination (2024)
Journal Article

The predominant explanations for the inclusion of chromosomal recombination during meiosis are either that it serves as a mechanism for repair or for increased adaptability. However, neither gives a clear immediate selective advantage to the reproduc... Read More about On recombination.

Consistency of XAI models against medical expertise: An assessment protocol (2024)
Presentation / Conference Contribution

Despite the significant advances made by Artificial Intelligence (AI) models in enhancing medical diagnostics and prognostics, their opacity poses a hurdle to widespread clinical adoption. In this regard, Explainable AI (XAI) aims to demystify these... Read More about Consistency of XAI models against medical expertise: An assessment protocol.

Investigating a deep learning approach to real-time air quality prediction and visualisation on UK highways (2024)
Thesis

The construction of intercity highways by the United Kingdom (UK) government has resulted in a progressive increase in vehicle emissions and pollution from noise, dust, and vibrations amid growing concerns about air pollution. Existing roadside pollu... Read More about Investigating a deep learning approach to real-time air quality prediction and visualisation on UK highways.

Exploring the intersection of A.I. and human creativity: Empowering agency in an age of uncertainty (2024)
Presentation / Conference Contribution

The paper 'Exploring the Intersection of A.I. and Human Creativity: Empowering Agency in an Age of Uncertainty' will be presented at the Prisms Education Symposium, a component of ICON12 at the Minneapolis Institute of Art (MIA) July 2024. This sympo... Read More about Exploring the intersection of A.I. and human creativity: Empowering agency in an age of uncertainty.

Towards robots with common sense (2024)
Book Chapter

This study explores the question: could a robot be equipped with an artificial “common sense” and if so, how? The study outlines a method for equipping social robots with an artificial theory of mind. The method is based on a simulation-based interna... Read More about Towards robots with common sense.

New traditions - An exhibition of modern folklore (2024)
Exhibition / Performance

The New Traditions on Modern Folklore exhibition seeks to merge echoes of ancient lore with the pulsing grind of contemporary life, inviting select artists to contribute visions of this "future-past" through conventional and experimental interpretati... Read More about New traditions - An exhibition of modern folklore.

Towards the acceptance of autonomous vehicles: The role of government and vehicles manufacturers government and vehicles manufacturers (2024)
Presentation / Conference Contribution

Self-driving vehicles continue to attract scholarly attention, yet understanding beyond technological barriers is crucial. This study, using critical review and interviews with 21 participants, explores factors influencing UK user acceptance of auton... Read More about Towards the acceptance of autonomous vehicles: The role of government and vehicles manufacturers government and vehicles manufacturers.

Regulating armed swarms under international law (2024)
Book Chapter

Of the known military systems under development today perhaps none are more controversial than autonomous weapons systems (AWS). Indeed, for several years, opponents have been urging the United Nations (UN) to prohibit this emerging weapons technolog... Read More about Regulating armed swarms under international law.