Actionable predictions: How designers of algorithmic systems calibrate criminal futures

Hopes and fears about algorithmic predictions are often rooted in the assumption that they represent a particularly actionable form of knowledge. Algorithmic predictions, the story goes, turn historical data into anticipatory actions instantly and on a large scale. Recent empirical evidence, however...

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Bibliographic Details
Main Authors: Maximilian Heimstädt, Simon Egbert
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517251340636
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