MRI v1.0 -Psych Profiler- ((Beta-Testing))
AI-Driven Risk Scoring Based on Viewing History and Behavioral Analysis
Utilizing comprehensive analysis of a subject’s digital viewing history across multiple platforms and contexts, the AI system estimates an individual’s risk level by identifying psychological and behavioral patterns. This advanced profiling assists law enforcement in prioritizing subjects based on inferred intent and threat potential.
Key Features:
Behavioral Pattern Analysis:
AI analyzes the subject’s viewing habits, including frequency, duration, and type of content consumed, to identify potential indicators of risk-related behavior.
Psychological Profiling:
By applying psychological models, the AI detects patterns such as obsession with violent content, radicalization signals, or other markers associated with criminal intent or elevated threat levels.
Dynamic Risk Scoring:
The system generates a Risk Score reflecting the likelihood of the subject engaging in harmful or illegal activities, which can be dynamically updated as new data is collected.
Multifactor Integration:
Viewing history data is combined with other available data points (criminal history, known affiliations, social behavior) for a comprehensive risk assessment.
Real-Time Alerts:
Law enforcement receives real-time notifications when a subject’s risk score exceeds predefined thresholds, enabling timely intervention.
Use Case Example:
When monitoring persons of interest, the AI evaluates their digital footprint to detect escalating risk behaviors, allowing agencies to allocate resources efficiently and prevent potential threats before they materialize.