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 …

This study extends the Technology Acceptance Model (TAM) to investigate the adoption of
AI tools among university students, incorporating Ethics and Trust as moderating variables …

This article examines responses to inequalities (re) produced by algorithms, particularly
affecting disadvantaged social strata. Positioning class politics at the centre of the analysis …

Aims: The purpose of the study is a philosophical analysis of the information ethics of the
future features in order to find ways of use and quality improvement of the information space …

Artificial intelligence (AI) and machine learning (ML) are becoming increasingly significant
areas of research for scholars in science and technology studies (STS) and media studies …

With the discipline of criminology as a case study, I explore how papers using what can
broadly be considered “data-driven methods" leverage novelty to experience citation …

Artificial intelligence (AI) is booming, and AI ethics is booming with it. Yet there is surprisingly
little attention paid to what the discipline of AI ethics is and what it ought to be. This paper …

AI-driven approaches dominate research and innovation, but are they addressing social
complexities and deeper ethical challenges? Following a critique of the growing reliance on …

This article explores the rapidly developing field of Critical AI Studies and its relation to
issues of class and capitalism through a hybrid approach based on distant reading of a …

This research investigates the influence of artificial intelligence (AI) adoption, machine
learning (ML) integration, and AI ethics on product innovation within Bogor's startup …