AI Use Case
Track and predict risk of likely criminal activity by individuals
Predict risk of illicit activity or terrorism using historical crime data, intelligence data and other available sources (e.g. predictive policing). Largely based on tracking network traffic, most obviously social media and telecoms activity, to predict likelihood and risk of potential terror-related criminal activity. The techniques will also reveal potential suspects. Similar techniques may be used to track other "undesirables" - including pro-democracy protesters in more repressive regimes.
Function
Benefits
Risk reduction - Predictive diagnosis
Case Studies
University of Southern California~University of Southern California researchers predict risk of violent protest with a Twitter-based model ,New York Police Department (NYPD)~The NYPD searched through surveillance footage using facial recognition ,Standard Cognition~Standard Cognition aims to predict and prevent shoplifting in supermarkets using machine vision,West Midlands Police~West Midlands Police anticipates violent crime with predictive policing using machine learning,World Bank~The World Bank is exploring using machine learning to analyse and improve public spending processes and find signals indicating potential corruption with Microsoft Research
Potential Vendors
IBM,Standard Cognition,Microsoft
Industry
Public And Social Sector
Security
Data Sets
Structured / Semi-structured,Text,Images,Audio,Video,Time series
AI Technologies
ML Task - Prediction - Regression,ML Task - Grouping - Anomaly Detection,Machine Learning (ML)