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              <text>Modal paradoxes suggest that if individuals could have been slightly different from how they actually are (tolerance), then they also could have been radically different (hypertolerance). Although these paradoxes have often been interpreted as requiring a unified solution, this project explores how a non-unified solution can be constructed so that the degree of change an individual undergoes becomes relevant to the force of the paradox. This is achieved under a variant of 'moderate haecceitism' which allows tolerance up until the individual changes the kind of thing that it is. In cases where the individual retains its kind, we can accept hypertolerance, whilst in cases where it changes its kind, we can reject the assumption of ‘necessitated tolerance’ by appealing to monstrous possible worlds, where at least one possible individual is intolerant.</text>
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              <text>Generative AI is usually presented as an autonomous, clean technology whose costs lie in how we consume it or in its energy use. This paper will argue that it is neither autonomous nor green, but an extractive socio-technical system mapped on historical capitalist and colonial foundations, best understood and presented as digital coloniality. Drawing on court records, the Fairwork assessment of Sama, a GDPR reverse-audit conducted with African data workers and peer-reviewed scholarship, this paper will examine how algorithmic management, precarity and psychological harm discipline workers and why participation in AI supply chains, is not equivalent to development. This paper will show workers contesting this system through litigation and data access requests but finds that these tools expose its foundations without dismantling them. It will conclude that said harm must be confronted before it becomes visible. </text>
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              <text>artificial intelligence, digital coloniality, data colonialism, data workers, content moderation, Kenya, Nigeria, Meta, Sama, GDPR, algorithmic management, outsourcing, labour rights, technological exceptionalism, global supply chains, Global South, Capitalism, </text>
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                <text>AI, digital coloniality and data workers’ labour rights: how generative AI depends on outsourced, low-paid data work in Kenya and Nigeria, and how workers contest it through litigation (Motaung v. Meta/Sama) and a GDPR reverse-audit.</text>
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                <text>Mary-Rose Deyanov (author); supervised by Mouzayian Khalil.</text>
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