if then else kind of rules. And it's true that once upon a time, 40 years ago or so, 30 years perhaps for some people, this type of rule-based approach was predominant in AI. But it was around 30 years ago, but really was not became dominant until the last five or 10 years. A new subfield of AI called machine learning became the dominant subsector of AI. And machine learning does not work at all with human micromanaging decisions. The way machine learning works is that it takes a large amount of data and figures out how to make decisions from the data. And the human doesn't really have an opportunity to micromanage and set the rules. The human just says, here's the goal. Here's a bunch of data and let AI figure it all out. The advantage of taking such an approach is that as you have more data, the decision making it becomes more accurate. And that's why we see AI beating people as more and more data are gathered running on powerful computers, training these smart machine learning (7/38)
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