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I appreciate your coverage of responsible AI here. As an AI practitioner in HR Tech, this topic sometimes doesn't get enough of my attention. Dataiku's RAFT model is nicely concise but still thorough.

That's so great you're learning some foundations of ML! I get frustrated when people cite the overall accuracy of their systems (we reached 90%!) without discussing precision and recall as well as the distribution of outcomes. Of course if you're trying to predict a rare outcome, you can get to really high overall accuracy just by always predicting the more common outcome. But your recall will be zero and your precision will be undefined.

As for chatbots, the generative ones seem to be the most powerful (they really seem to understand what you're asking, and they provide such fluent responses) but more basic ones that merely classify intent and provide standard responses are probably safer.

I question whether chatbots are generally a good interaction paradigm. For certain cases they are, but it seems many companies are introducing them based on ChatGPT right now just so they can say they've got a GenAI capability in production. I'm writing a newsletter article about that this morning, so we seem to be thinking about the same thing.

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