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cross-posted from: https://lemmy.ml/post/38830376
The Economist on using phrenology for hiring and lending decisions: "Some might argue that face-based analysis is more meritocratic" […] "For people without access to credit, that could be a blessing"
cross-posted from: https://lemmy.ml/post/38830374
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cross-posted from: https://lemmy.ml/post/38830374
I think many people are at least able to see how stupid this is.
But I guess if put a tad more subtle, the majority of recruiters and managers might fall for it. "Candidates which prefer yellow peppers over green ones have be found by our AI to be the more capable receptionists!" /s
(Another thing I see is that I have seen a lot of non-trivial algorithm applications that are now touted as "ai" stuff, like basic pattern recognition, algebraic solvers, PCA, board game strategies, path planning in public transport networks, image enhancement, weather forecasts, SAT solvers, and so on.... some of that might have resulted out of "ai" research, often as many as forty years ago, and some not. But most people were never aware of these things, much less how they work. And now it is all touted as "ai" as in GenAI. This will only add to the confusion. The better term would be "advanced information processing algorithms".)
Those algorithms were collectively referred to as AI long before gen AI existed. It is gen AI that is riding on classical AIs name.
Most generative AI isnt even artificial intelligence by definition. Technically most of it falls under deep learning or machine learning. But that doesn't sound as marketable as pretending chat bots are intelligent now.
All of these terms are anthropomorphic pseudo-science promoted by grifters.
The underlying problem is that "AI" doesn't actually exist. It's a term that has never been used honestly or scientifically. So it can be applied to literally any grift as we're seeing now.
I agree this is a better term. But a problem is that more accurate/scientific terminology is less suitable for grifting and thus will never catch on.