3 papers
cs.CL2024
Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction
Andrea Cristina McGlinchey, Peter J Barclay
Following the universal availability of generative AI systems with the release of ChatGPT, automatic detection of deceptive text created by Large Language Models has focused on dom…
cs.LG2024
Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
Tess Watt, Christos Chrysoulas, Peter J Barclay
Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to so…
cs.CL2024
Investigating Markers and Drivers of Gender Bias in Machine Translations
Peter J Barclay, Ashkan Sami
Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biase…