Machine Learning

In machine learning you show a system many examples and it works out the rule itself by adjusting internal numbers until its outputs match the examples. Formally ML is a subfield of AI, though in practice the terms are used loosely. The key shift is that the developer supplies data and an objective rather than logic.

In practice: Instead of listing every word that signals fraud, you feed a model 100,000 labelled transactions and let it find the signals.