The myth of AI doing our job is not entirely accurate. Preparing the data for AI to find statistical patterns in our data, requires clean data. Clean data means we need to make sure we don't include data that will generate unseen biases. This in itself means we need to know the data we feed to the AI systems. We need to be able to understand and verify the outcome, and deeply know the data which is used as input. If we don't, we will find ourselves in a bigger mess than we started with. Fact Oriented Modeling may help set clear definitions, specifications and meaning on that data to build a better understanding of all of it. AI is simply not going to magically do that for us.

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