The genetics of the algorithm in criminal policy: inheritance, bias, and punitive rationality in the age of AI
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Abstract
This article proposes the notion of the genetics of the algorithm as an analytical category for critically examining the use of ai in criminal policy. It argues that these systems incorporate inherited data structures, institutional categories, and policy priorities that shape their operation and may reinforce penal selectivity and punitive rationality. On that basis, the article advances democratic and due-process-based limits for their use.
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