Can we recognize baked-in AI in HR Tech in order to manage it properly?

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“AI is quickly becoming a table-stakes commodity. Since it will often be unlabeled, the question will be, ‘How do we recognize it?’ This is not the discovery of a rarity, it’s remembering to be effective in the flow of recommendations, suggestions, forecasts, probabilities, and interpretations that fill our every transaction. Recognizing AI means trying to remember, in the onslaught of machine opinion, that by accepting the machine’s opinion you are making a decision.” - John Sumser


AI is quickly becoming a table-stakes commodity that often goes unlabeled




In the first generation of software, the programmers had to understand patterns and embed them in the code. In today’s Machine Learning era, the tools deduce and discover the patterns. We don’t actually know if this is better yet. We do know that machines are capable of ferreting out patterns where to humans there appear to be none.


This is a non-trivial change. The failure to distinguish between the two types of tool will result in significant problems. The difficulties are a part of the transition from classical programming to machine learning. The machine’s output is very different in the new tools. It’s much more like an

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