ABSTRACT
Most people are targeted for digital scrutiny as members of social groups, not as individuals. Differently, university-educated and technically skilled Black and Latinx women who are first-generation technology workers from all class backgrounds encounter a "glass wall" and struggle to convert their educational credentials and technical skills into full-time jobs. Investigating the intersections of the processes with gender and social class, Leonard demonstrates how they consistently and routinely artificialise whiteness by disadvantaging members of marginalised groups. The author therefore advocates for a recognition of AI as a racial, gendered and classist system of governance that seeks to reassert, renew and normalise facets of white supremacy. Hughey nuances the normative understanding of time and temporal experience as constant, arguing that different social groups and especially ethnic and racial collectives are subject to different temporal constraints and hold varied perceptions of time.
