Cited by 236Ethics and Social Impacts of AICriminal Justice and Corrections AnalysisArtificial Intelligence in Law

Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates

Hannah-Moffat, Kelly·2019·Theoretical Criminology

Abstract

Meanings of risk in criminal justice assessment continue to evolve, making it critical to understand how particular compositions of risk are mediated, resisted and re-configured by experts and practitioners. Criminal justice organizations are working with computer scientists, software engineers and private companies that are skilled in big data analytics to produce new ways of thinking about and managing risk. Little is known, however, about how criminal justice systems, social justice organizations and individuals are shaping, challenging and redefining conventional actuarial risk episteme(s) through the use of big data technologies. The use of such analytics is shifting organizational risk practices, challenging social science methods of assessing risk, producing new knowledge about risk and consequently new forms of algorithmic governance. This article explores how big data reconfigure risk by producing a new form of algorithmic risk—a form of risk which is posited as different from the social science (psychologically) informed risk techniques already in use in many justice sectors. It also shows that new experts are entering the risk game, including technologists who make data public and accessible to a range of stakeholders. Finally, it demonstrates that big data analytics can be used to produce forms of usable knowledge that constitute types of ‘information activism’. This form of activism produces alternative risk narratives, which are focused on ‘criminogenic structures’ or ‘criminogenic policy’.

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Crossref · 10.1177/1362480618763582

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Authors
Hannah-Moffat, K.
Affiliations
University of Toronto, Ontario, Canada
Venue
Theoretical Criminology
Published
2018-03-22
Volume
23
Issue
4
Pages
453-470
ISSN
  • 1362-4806 (ISSN-L)
  • 1461-7439
OpenAlex
W2790702402
Cited by
236
References
48
Citations by year
2026: 17 · 2025: 29 · 2024: 27 · 2023: 22 · 2022: 70 · 2021: 20 · 2020: 36 · 2019: 10 · 2018: 5
FWCI
35.29
Type
journal article
Language
en
Open access
closed
Locations
Theoretical Criminology (publishedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
  • Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
Keywords
big data analytics, information activism, race, risk narratives, social justice organizations, criminal justice organizations

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