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- W4283263175 abstract "Abstract As facial recognition is increasingly deployed around the world, from the US to China, civil liberties activists and democratic actors have drawn attention to its error rates and privacy invasions. The chapter unpacks new facets of algorithmic accountability, as it emerged nationally and transnationally by producing accounts of algorithmic error and by providing trustworthy explanations of what algorithms do. An algorithmic accountability and auditing industry has emerged to answer growing concerns that humans cannot trust fast-developing algorithms. Rather than analysing accountability through techniques of verification and responsibilization, we draw on scenes of contestation of facial recognition in China to develop another form of calling to account through refusal. Attending to refusal as a form of accountability expands the political scene of algorithmic interventions and challenges how liberal and authoritarian imaginaries to technological innovation are allocated following geopolitical lines." @default.
- W4283263175 created "2022-06-23" @default.
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- W4283263175 date "2022-05-07" @default.
- W4283263175 modified "2023-10-18" @default.
- W4283263175 title "Accountability" @default.
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- W4283263175 doi "https://doi.org/10.1093/oso/9780192859624.003.0008" @default.
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