AIMC Topic: Crime

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Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy.

PloS one Sep 7, 2022
The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime. However, limited efforts have been ma...
Crime Forecasting Deep Learning Models, Statistical Data Collection
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Event-level prediction of urban crime reveals a signature of enforcement bias in US cities.

Nature human behaviour Jun 30, 2022
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with...
Bias Crime Police Humans Artificial Intelligence Cities
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Implicit data crimes: Machine learning bias arising from misuse of public data.

Proceedings of the National Academy of Sciences of the United States of America Mar 21, 2022
SignificancePublic databases are an important resource for machine learning research, but their growing availability sometimes leads to "off-label" usage, where data published for one task are used for another. This work reveals that such off-label u...
Image Processing, Computer-Assisted Bias Crime Machine Learning Algorithms
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Development of Crime Scene Intelligence Using a Hand-Held Raman Spectrometer and Transfer Learning.

Analytical chemistry Jun 17, 2021
The classification of ignitable liquids, such as gasoline, is critical crime scene intelligence to assist arson investigations. Rapid field gasoline classification is challenging because the current forensic testing standard requires gas chromatograp...
Neural Networks, Computer Artificial Intelligence Machine Learning Intelligence Crime
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Achieving Equity with Predictive Policing Algorithms: A Social Safety Net Perspective.

Science and engineering ethics Jun 1, 2021
Whereas using artificial intelligence (AI) to predict natural hazards is promising, applying a predictive policing algorithm (PPA) to predict human threats to others continues to be debated. Whereas PPAs were reported to be initially successful in Ge...
Police Artificial Intelligence Humans Law Enforcement Policy Crime
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Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.

Sensors (Basel, Switzerland) Mar 17, 2020
The detection of objects concealed under people's clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to ...
Datasets as Topic Electromagnetic Phenomena Clothing Feasibility Studies Safety Management Image Interpretation, Computer-Assisted Crime Security Measures Weapons Algorithms Sensitivity and Specificity Deep Learning Computer Systems Metals Limit of Detection Humans Neural Networks, Computer
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Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Social Problems Crime Satellite Imagery Socioeconomic Factors Income Employment Health Status Disparities London Neural Networks, Computer Housing Deep Learning Humans Cities
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Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

Science and engineering ethics Feb 14, 2019
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI t...
Social Media Liability, Legal Commerce Crime Fraud Sex Offenses Humans Artificial Intelligence Forecasting Interdisciplinary Research Drug Trafficking
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Machine learning of brain gray matter differentiates sex in a large forensic sample.

Human brain mapping Nov 15, 2018
Differences between males and females have been extensively documented in biological, psychological, and behavioral domains. Among these, sex differences in the rate and typology of antisocial behavior remains one of the most conspicuous and enduring...
Prisoners Middle Aged Forensic Pathology Humans Gray Matter Adolescent Young Adult Crime Child Machine Learning Female Adult Criminals Brain Image Processing, Computer-Assisted Reproducibility of Results Male Magnetic Resonance Imaging Aged Sex Characteristics
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Prediction of crime occurrence from multi-modal data using deep learning.

PloS one Apr 24, 2017
In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols. Previous studies have used d...
Databases, Factual Humans Models, Statistical Crime Neural Networks, Computer
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