This scoping review examines the research landscape about publics' views on the ethical
challenges of AI. To elucidate how the concerns voiced by the publics are translated within …

ABSTRACT EU policy emphasises the need for digital sovereignty, also in artificial
intelligence (AI). But because such 'AI sovereignty'could be used for diverse and even …

A growing scholarship has discussed how datafication is grounded on algorithmic
discrimination. However, these debates only marginally address how racialised …

Traditional conceptions of democratic publics are changing due to the rise of social media
as a global communication tool. While social media brings people together globally and …

The computational logics of large language models (LLMs) or generative AI–from the early
models of CLIP and BERT to the explosion of text and image generation via ChatGPT and …

Digital migration studies is research on migration in relation to digital technologies. As we1
explore in this book, research addresses the digitization of borders and the datafication of …

Deepfakes, as a sociocultural and technical phenomenon, have engendered two distinct yet
intimately interwoven set of responses: on one hand, they have created widespread …

It is well known that AI-based language technology--large language models, machine
translation systems, multilingual dictionaries, and corpora--is currently limited to 2 to 3 …

This paper advances the debate surrounding whether to democratize AI and explores some
of the challenges and benefits of democratization through community-based work and direct …

This article examines how platform-based AI competitions structure power relations in
medical imaging research. It focuses on two leading platforms, Kaggle and Grand …