Organized Crime AI Algorithm
Here are the basics of the Organized Crime Algorithm. Initially developed by criminal organizations, this algorithm specializes in identifying specific personal traits and behaviors. It has earned the moniker "personality assessment tool," but some colloquially refer to it as the "Scumbag Detector." A rudimentary version of this algorithm is accessible on the obscured realms of the internet, often called the dark web.
Functionality: How Does It Work?
The algorithm operates by analyzing and identifying potential candidates through the following steps:
Data Collection:
- The algorithm aggregates data from diverse sources, including but not limited to social media sites, emails, text messages, phone calls, GPS data, search engines, cloud storage, shopping habits, financial transactions, healthcare records, government and public databases, employer records, educational history, smart home devices (like security cameras and smart speakers), activity trackers, both legal and illegal data brokers, and crucially, DNA testing data. This comprehensive dataset is within the reach of seasoned hackers.
Data Analysis:
- The algorithm organizes and sifts through this extensive data to construct a detailed profile of each individual, akin to assembling a puzzle to form a complete picture.
Profile Comparison and Scoring:
- With all this information, the algorithm compares each individual's profile against a 'standard profile' – an archetype of the perfect criminal candidate. It scores each comparison based on similarities, with higher scores indicating greater alignment with the archetype.
Matching and Compatibility Calculation:
- The algorithm then ranks these profiles based on their scores. Those with the highest scores are deemed the most suitable candidates. To quantify the suitability, the algorithm might present a compatibility percentage, indicating the likelihood of the individual engaging in criminal activities or obeying questionable orders.
Importance of the Algorithm:
- This tool is indispensable for criminal organizations. Manually filtering through massive data to find potential recruits is impractical and time-consuming. The algorithm streamlines this process by efficiently identifying patterns and trends in behavior and preferences, thereby presenting the most compatible matches for the organization's needs.