We seek to evolve AIs that can learn what is important to humans. The optimization objective is to minimize error while keeping complexity manageable: we do not seek to eliminate the error (that will model noise as signal, and introduce overfitting). For practical purposes, there is a level of error we can live with, and there are also limits to human cognition (e.g. how many variables we can think of at the same time, and how many variable relationships). Ultimately, we want AIs that can gain situational awareness in the way humans do. 
We focus on "inferential sensors" in the points of interest to preserve the integrity of the financial system, the applications include investment fraud, computer hacking/ransomware scams, identity theft.

Inoculation

The key idea is that it is easier to cure people in the early stages of infection -influence human behavior and prevent machines to learn bad behavior. Those users who conduct activity in the regular web are still "newbies" (otherwise they would be in the dark web already), and therefore they are more susceptive to an intervention to modify their behavior.

Data types

The following use cases are based on blockchain and web datasets only. At this stage we use global data and daily time granularity, although detail for specific countries, major US metro areas, and intraday sampling is possible. Those data points can be augmented with government intelligence (e.g. geo data), and/or dark web datasets, if available.

Use cases

The emergence of the clean net fraud network around TOR

We correlate TOR browser downloads to several real world time series to find relationships regarding aspects such as deterioration of trust in the traditional financial system, the rise of some types of cyber crimes, among others. As a follow up step, we investigate causation using several signal processing and AI techniques.
We started collecting data
Start Month 5May-17
Start Year2017
End Month 10Oct-18
End Year2018
Desktop VisitsWorld Wide

Distribution

How do the values of Proximity compare by category
Internet and telecom/File Sharing is closer than Internet and Telecom/Web Hosting