The myth of AI doing our job is only partially true. Preparing the data for AI to find statistical patterns in our data, require clean data. Clean data means we need to make sure we don't include data that will create a bias. That in itself means we need to know the data we through at our AI systems. We need to both understand the outcome, verify the outcome, and very clearly know the data which is the input. Or we will find ourselves in an ever bigger mess. Fact Oriented Modeling may help set clear definitions, specifications and meaning on that data. Self learnng AI

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