Or maybe, the game is over and everyone now realises that A.I. = B.S. and that it's really machine learning but hey ... That's such a boring unsellable word

Next time I hear A I I will puje again
And if anyone says they have it say "yea, what ever! so whats the carbon footprint of your machine learning and what are it's inherent biases ... And don't lie"


"But here’s the thing: the industry is now addicted to a technology that has major technical and societal downsides. CO2 emissions from training large machine-learning systems are huge, for example. They are too fragile and error-prone to be relied upon in safety-critical applications, such as autonomous vehicles. They incorporate racial, gender and ethnic biases (partly because they have imbibed the biases implicit in the data on which they were trained). And they are irredeemably opaque – in the sense that even their creators are often unable to explain how their machines arrive at classifications or predictions – and therefore don’t meet democratic requirements of accountability. And that’s just for starters.

So how does the industry address the sordid reality that it’s bet the ranch on a powerful but problematic technology? Answer: by avoiding calling it by its real name and instead wrapping it in a name that implies that, somehow, it’s all part of a bigger, grander romantic project – the quest for artificial intelligence. As Orwell might put it, it’s the industry’s way of giving “an appearance of solidity to pure wind” while getting on with the real business of making fortunes."


https://www.theguardian.com/commentisfree/2022/nov/05/machine-learning-systems-are-problematic-thats-why-tech-bosses-call-them-ai