Artificial intelligence (AI) is increasingly embedded in the infrastructures that organise access to knowledge, economic opportunities, public services and social
For much of the history of digital inequality research, the central questions concerned access, skills, use, participation, and outcomes. Who
Models operate “in the cloud.” Data travel through networks. Algorithms calculate, predict and generate seemingly without physical form. But artificial
For the fourth consecutive year, I have been included in the Stanford/Elsevier Top 2% Scientists List. This is certainly a
Artificial intelligence is frequently analysed as a collection of technologies, models, or automated decision-making systems. Discussions of inequality therefore tend
Academic algorithmic symbolic violence, data capital, classificatory capital, frozen habitus and restricted epistemology offer a new framework for understanding how
Artificial intelligence is usually discussed through questions about what AI systems can do. Can they predict behaviour? Rank applicants? Generate
Why AI inequality is no longer only about digital access, but about who controls data, algorithms, infrastructures and the means
I know: in the larger economy of academic recognition, 1,000 citations on Google Scholar is not a dramatic event. It
In my PhD course on Ethical Problems in Communication at the University of Sharjah (UAE), I asked students to engage