AI in terrorism sentencing: evaluating predictive accuracy and ethical implications

This study investigates the potential of artificial intelligence (AI) to predict sentencing outcomes in terrorism-related attempted murder cases. By comparing AI model predictions with actual sentences from Israeli civilian and military courts, the research evaluates AI’s accuracy and consistency. F...

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Bibliographic Details
Main Author: Farber, Shai (Author)
Format: Electronic Article
Language:English
Published: 2024
In: Criminal justice studies
Year: 2024, Volume: 37, Issue: 4, Pages: 352-370
Online Access: Volltext (kostenfrei)
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Keywords:
ethical implications of AI in law
Judicial decision-making
sentencing algorithms. Terrorism case sentencing
Artificial intelligence (AI) in legal systems
Description
Summary:This study investigates the potential of artificial intelligence (AI) to predict sentencing outcomes in terrorism-related attempted murder cases. By comparing AI model predictions with actual sentences from Israeli civilian and military courts, the research evaluates AI’s accuracy and consistency. Findings indicate that AI predictions align closely with human judgments yet also reveal significant challenges in capturing case-specific nuances. This study contributes to the debate on AI’s role in the legal system, providing insights into developing responsible and effective AI integration in judicial decision-making.
ISSN:1478-6028
DOI:10.1080/1478601X.2024.2415558