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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Detalles Bibliográficos
Autor principal: Farber, Shai (Autor)
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2024
En: Criminal justice studies
Año: 2024, Volumen: 37, Número: 4, Páginas: 352-370
Acceso en línea: Volltext (kostenfrei)
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Palabras clave:
ethical implications of AI in law
Judicial decision-making
sentencing algorithms. Terrorism case sentencing
Artificial intelligence (AI) in legal systems
Descripción
Sumario: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