There is a terminology problem. When you say AI, it sounds like you are mostly referring to automated data collection. This has one set of concerns. AI is als

There is a terminology problem. When you say AI, it sounds like you are mostly referring to automated data collection. This has one set of concerns. AI is also commonly used to mean algorithmic decision making. Again, a different set of concerns. The mechanism behind the decision is not really important, but people have concerns about e.g. fairness of automatically deciding based on a set of factors or on past trends. There are also concerns about the reliability of opaque AI models, because stakeholders dont understand how they work. There is also AI as sold by consulting firms which is usually just some variation on a BI dashboard, dressed up in modern lingo. And then I suppose there are some future concerns about actual AGI, that are more about having created some sentient thing, but those are more philosophical at this point. Normally I don't like getting hung up on terminology, but with AI, there are so many different meanings that it is best to use some other term, especially when we talk about what is regulated. It would be silly e.g. to be perceived as regulating linear regression when you are concerned about data collection.