`Scale the model, scale the data, scale the GPU-farms' is the reigning
s...
We provide a critique of mathematical biology in light of rapid developm...
Participatory approaches to artificial intelligence (AI) and machine lea...
Machine learning (ML) and artificial intelligence (AI) tools increasingl...
When mathematical modelling is applied to capture a complex system, mult...
How has recent AI Ethics literature addressed topics such as fairness an...
Textual data can pose a risk of serious harm. These harms can be categor...
The idea of "data justice" is of recent academic vintage. It has arisen ...
The Advancing Data Justice Research and Practice (ADJRP) project aims to...
This paper aims to help structure the risk landscape associated with
lar...
We have now entered the era of trillion parameter machine learning model...
Machine learning (ML) currently exerts an outsized influence on the worl...
As machine learning and data science applications grow ever more prevale...
This article sets out our perspective on how to begin the journey of
dec...
In this paper we investigate problematic practices and consequences of l...
The 'robot rights' debate, and its related question of 'robot
responsibi...
It has become trivial to point out how decision-making processes in vari...