BEYOND THE PREDICTION PARADIGM: CHALLENGES FOR AI IN THE STRUGGLE AGAINST ORGANIZED CRIME

The use of Artificial Intelligence (AI) for policing is a hot topic. This is not only because of the hopes and promises placed in it, but also because it is sharply criticized by human rights activists, ethicists and social scientists.1 In particular, the use and implementation of so-called predicti...

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Bibliographic Details
Published in:Law and contemporary problems 2021-06, Vol.84 (3), p.1
Main Authors: Helm, Paula, Hagendorff, Thilo
Format: Article
Language:English
Subjects:
Accountability
Artificial intelligence
Criminal behavior, Prediction of
Criminal justice
Criminal law
Criticism
Data analysis
Decision making
Human rights
Intelligence
Intrusion
Judges & magistrates
Law enforcement
Management
Methods
Organized crime
Parole
Parole boards
Police
Predictions
Prevention
Remedies
Set (Psychology)
Social scientists
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Summary:The use of Artificial Intelligence (AI) for policing is a hot topic. This is not only because of the hopes and promises placed in it, but also because it is sharply criticized by human rights activists, ethicists and social scientists.1 In particular, the use and implementation of so-called predictive policing technologies (PPT) is being disapproved of by many entities. The criticism of these systems refers to some of its well-known aspects, such as lack of accountability, problematic biases in the data sets, intrusion into personal rights, and superficiality. Despite the criticism, PPTs are now regularly used across criminal justice and law enforcement institutions. Judges, parole boards, police commanders, and patrol officers make daily assessments, evaluations, and assignments based on these technologies. They insist that automated data analysis makes institutional decision-making more effective, consistent, neutral, and, most importantly, it makes policing smarter.
ISSN:0023-9186
1945-2322