Abolish! Against the Use of Risk Assessment Algorithms at Sentencing in the US Criminal Justice System
- In this article, I show why it is necessary to abolish the use of predictive algorithms in the US criminal justice system at sentencing. After presenting the functioning of these algorithms in their context of emergence, I offer three arguments to demonstrate why their abolition is imperative. First, I show that sentencing based on predictive algorithms induces a process of rewriting theIn this article, I show why it is necessary to abolish the use of predictive algorithms in the US criminal justice system at sentencing. After presenting the functioning of these algorithms in their context of emergence, I offer three arguments to demonstrate why their abolition is imperative. First, I show that sentencing based on predictive algorithms induces a process of rewriting the temporality of the judged individual, flattening their life into a present inescapably doomed by its past. Second, I demonstrate that recursive processes, comprising predictive algorithms and the decisions based on their predictions, systematically suppress outliers and progressively transform reality to match predictions. In my third and final argument, I show that decisions made on the basis of predictive algorithms actively perform a biopolitical understanding of justice as management and modulation of risks. In such a framework, justice becomes a means to maintain a perverse social homeostasis that systematically exposes disenfranchised Black and Brown populations to risk.…
Dokumentart: | Artikel (Wissenschaftlicher) |
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Verfasserangaben: | Dr. Katia SchwerzmannORCiDGND |
DOI (Zitierlink): | https://doi.org/10.1007/s13347-021-00491-2Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20211207-45417Zitierlink |
URL: | https://link.springer.com/article/10.1007/s13347-021-00491-2 |
Titel des übergeordneten Werkes (Englisch): | Philosophy & Technology |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 02.12.2021 |
Datum der Erstveröffentlichung: | 23.11.2021 |
Datum der Freischaltung: | 07.12.2021 |
Veröffentlichende Institution: | Bauhaus-Universität Weimar |
Institute und Partnereinrichtugen: | Fakultät Medien / Graduiertenkolleg Medienanthropologie (GRAMA) |
Jahrgang: | 2021 |
Seitenzahl: | 22 |
Erste Seite: | 1 |
Letzte Seite: | 22 |
Freies Schlagwort / Tag: | biopolitics; criminal justice; cybernetics; predictive algorithms; social justice |
GND-Schlagwort: | Biopolitik; Soziale Gerechtigkeit; Algorithmus |
DDC-Klassifikation: | 100 Philosophie und Psychologie / 190 Neuzeitliche westliche Philosophie |
BKL-Klassifikation: | 08 Philosophie / 08.45 Politische Philosophie |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |