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What the FAccT?: Reformers and Radicals

Computer Says Maybe

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Exploring Algorithmic Bias in Predictive Policing

This chapter delves into the socially contested role of algorithmic bias in a predictive policing tool used in Chicago, analyzing the history of biased practices in policing. It introduces bias as a boundary object that shapes and limits political exploration, discussing different perspectives on bias in relation to reform and structural change. The chapter also highlights challenges in translating AI ethics guidance into operational tasks and emphasizes the importance of addressing complaints related to AI ethics labor within organizations.

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