RT Article
T1 AI in terrorism sentencing: evaluating predictive accuracy and ethical implications
JF Criminal justice studies
VO 37
IS 4
SP 352
OP 370
A1 Farber, Shai
LA English
YR 2024
UL https://krimdok.uni-tuebingen.de/Record/1915521823
AB 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.
K1 ethical implications of AI in law
K1 Judicial decision-making
K1 sentencing algorithms. Terrorism case sentencing
K1 Artificial intelligence (AI) in legal systems
DO 10.1080/1478601X.2024.2415558