Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …

It has become trivial to point out that algorithmic systems increasingly pervade the social
sphere. Improved efficiency—the hallmark of these systems—drives their mass integration …

In light of fast‐growing popular, political and professional discourses around AI in education,
this article outlines five broad areas of contention that merit closer attention in future …

Large language models that exhibit instruction-following behaviour represent one of the
biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the …

Machine learning algorithms pervade contemporary society. They are integral to social
institutions, inform processes of governance, and animate the mundane technologies of …

Humans are universally good in providing stable and accurate judgments about what forms
part of their language and what not. Large Language Models (LMs) are claimed to possess …

The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …

This survey article assesses and compares existing critiques of current fairness-enhancing
technical interventions in machine learning (ML) that draw from a range of non-computing …

The field of digital mental health is making strides in the application of technology to
broaden access to care. We critically examine how these technology-mediated forms of care …

Stereotypes, bias, and discrimination have been extensively documented in Machine
Learning (ML) methods such as Computer Vision (CV)[18, 80], Natural Language …