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    Suggest removing the ai tag unless the article actually has code for ML or AI.

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      In ai several posts provide no code.

      Also, I’d say the article is about AI and ML: face recognition is an application of artificial intelligence and the analysis of data collected will use machine learning techiniques. Indeed, I’d say the collection would be pointless without the recent advancements in the field.

      Maybe I’m missing something?

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        So, the way I look at it, a tag tells me what I’m going to learn by reading an article. I don’t learn anything new about ai from this article, because it doesn’t have code, doesn’t have math, and doesn’t have implementation information. I do learn something about privacy (already a weak tag by in my opinion, but whatever) because I know more about implementation details of the US surveillance state.

        The AI part here is not interesting or a main focus, because it’s a minor supporting point to the expansion of surveillance powers. The article, a few decades ago, could’ve been written about taking pictures and fingerprints of all citizens.

        Save the ai tag for things that are technically illuminating–and just because others have misused tags in the past doesn’t mean we should perpetuate those inaccuracies.

        In fact, law here would be a better replacement for ai.

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          I don’t learn anything new about ai from this article, because it doesn’t have code, doesn’t have math, and doesn’t have implementation information.

          I learn about one application of AI and ML in US.
          It is technically illuminating.

          I do not think of myself as a mere executor of the orders of people who can’t code or understand a gradient descent, so such article is very useful.

          Code, math and implementation details answer the question “How?”

          But the first question an engineer should ask is always “Why?”

          That’s the role of this article in my work with machine learning.