AIMC Topic: Criminal Law
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Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered experiments.
PloS one
Jan 30, 2025
BACKGROUND: Artificial intelligence (AI) is anticipated to play a significant role in criminal trials involving citizen jurors. Prior studies have suggested that AI is not widely preferred in ethical decision-making contexts, but little research has ...
Improving the diagnostic value of lineup rejections.
Cognition
Aug 14, 2024
Erroneous eyewitness identification evidence is likely the leading cause of wrongful convictions. To minimize this error, scientists recommend collecting confidence. Research shows that eyewitness confidence and accuracy are strongly related when an ...
International Criminal Law Protection of Environmental Rights and Sentencing Based on Artificial Intelligence.
Journal of environmental and public health
May 31, 2022
Environmental problem is an international problem that transcends national boundaries and develops into regional and global environmental pollution and ecological problems. Facing the increasing environmental pollution, the international community ha...
Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.
PloS one
Mar 18, 2021
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with h...
Using machine learning analyses to explore relations between eyewitness lineup looking behaviors and suspect guilt.
Law and human behavior
Feb 27, 2020
OBJECTIVE: We conducted 2 experiments using machine learning to better understand which lineup looking behaviors postdict suspect guilt., Hypotheses: We hypothesized that (a) lineups with guilty suspects would be subject to shorter viewing duration o...
AI assistance improves people's ability to distinguish correct from incorrect eyewitness lineup identifications.
Proceedings of the National Academy of Sciences of the United States of America
May 27, 2025
Mistaken eyewitness identification is one of the leading causes of false convictions. Improving law enforcement's ability to identify correct identifications could have profound implications for criminal justice. Across two experiments, we show that ...
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