Manufacturing Crises

Artificial Intelligence (AI) policy language, as a genre, provides little room for self-reflexivity. In fact, how do otherwise neutrally presented concerns about the virtues of drafting and not breeaching academic integrity policies (using AI) disguise labour protections, which benefit a Professional-Managerial Class? AI’s capabilities invite more transparent discussions about the labour involved in the writing process, both student labour and unionised faculty labour. Without the benefit of needed context, the uncritical suggestion that everyone stands to lose skills, in equal measure, forecloses on a more nuanced conversation about professional anxieties and legitimate student interest in Large Language Models (LLMs). Raced and classed students in minority-serving institutions (MSIs), in particular, have legitimate reason to be suspicious of promised payoffs from repeated drafting – that is, considering the White labour movement’s history (in the US) with structuring incentives that exclusively benefit its membership

Higher education · Public education · Public policy · Public sector · Vocational education · Digital Education and Society

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