AIMC Topic: Crime

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Application of artificial intelligence to eyewitness identification.

Cognitive research: principles and implications
Artificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitness...

Assessing Verbal Eyewitness Confidence Statements Using Natural Language Processing.

Psychological science
After an eyewitness completes a lineup, officers are advised to ask witnesses how confident they are in their identification. Although researchers in the lab typically study eyewitness confidence numerically, confidence in the field is primarily gath...

The impact of AI errors in a human-in-the-loop process.

Cognitive research: principles and implications
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic...

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

PloS one
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...

Event-level prediction of urban crime reveals a signature of enforcement bias in US cities.

Nature human behaviour
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...

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
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...

Development of Crime Scene Intelligence Using a Hand-Held Raman Spectrometer and Transfer Learning.

Analytical chemistry
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...

Achieving Equity with Predictive Policing Algorithms: A Social Safety Net Perspective.

Science and engineering ethics
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...

Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.

Sensors (Basel, Switzerland)
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 ...

Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports
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...