-
Article
Open AccessDevelo** a sentence level fairness metric using word embeddings
Fairness is a principal social value that is observable in civilisations around the world. Yet, a fairness metric for digital texts that describe even a simple social interaction, e.g., ‘The boy hurt the girl’...
-
Article
Open AccessUsing the interest theory of rights and Hohfeldian taxonomy to address a gap in machine learning methods for legal document analysis
Rights and duties are essential features of legal documents. Machine learning algorithms have been increasingly applied to extract information from such texts. Currently, their main focus is on named entity re...
-
Article
Open AccessWord vector embeddings hold social ontological relations capable of reflecting meaningful fairness assessments
Programming artificial intelligence (AI) to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness....
-
Chapter and Conference Paper
Brain Computer Interfacing Using Humour and Memory Recall
Many Brain computer interfaces use active mental tasks such as a user’s imagined hand movement to generate a signature EEG signal calibrated to a specific command. This is often specific to the individual who ...
