NEW BOOK: The AI Playbook by Eric Siegel. In his bestselling first book, Eric explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. A Next Big Idea Club Must Read. Info: http://www.bizML.com

This video is one of a fourpart sequence (playlist) on how the term "AI" misinforms and misleads:    • The Great AI Myth  

Check out my latest Forbes article (04.10.2024), "Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype" IN FORBES: https://www.forbes.com/sites/ericsieg... NARRATION:    • Forbes Article: Artificial General In...  

My latest take (06.02.23) just dropped in Harvard Business Review: "The AI Hype Cycle Is Distracting Companies" https://hbr.org/2023/06/theaihypec...

Want to learn more about machine learning and AI from Dr. Data (Eric Siegel)? His threecourse series, "Machine Learning Leadership and Practice – EndtoEnd Mastery", covers everything he covered in The Dr. Data Show, plus a whole lot more. ACCESS IT HERE: http://www.MachineLearning.courses

Is AI legit? In this mustsee episode of The Dr. Data Show, Eric Siegel delivers a treatise that ridicules the widespread myth of artificial intelligence. His impassioned soliloquy is enlightening and actually pretty funny. It's time for the term AI to be "terminated."

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AI is a big fat lie. Artificial intelligence is a fraudulent hoax — or in the best cases it’s a hypedup buzzword that confuses and deceives.

The much better, precise term would instead usually be machine learning which is genuinely powerful and everyone oughta be excited about it.

On the other hand, AI does provide some great material for nerdy jokes.

So put on your skepticism hat, it's time for Dr. Data's happy, fun, AIdebunkin', slamdunkin', machine learninglovin', robopocalypse mythbustin', smackdown jamboree yeehaw!

In this episode, I'll make three points:

1) Unlike AI, machine learning’s totally legit. It is, by the way, the topic of this entire web series, The Dr. Data Show, and, I gotta say, it wins the Awesomest Technology Ever award, forging advancements that make ya go, "Hooha!". However, these advancements are almost entirely limited to supervised machine learning, which can only tackle problems for which there exist many labeled or historical examples in the data from which the computer can learn. This inherently limits machine learning to only a very particular subset of what humans can do plus also a limited range of things humans can't do.

2) AI is BS. And for the record, the naysayer before you taught the Columbia University graduatelevel "Artificial Intelligence" course, as well as other related courses there.

AI is nothing but a brand. A powerful brand, but an empty promise. The concept of intelligence is entirely subjective and intrinsically human. Those who espouse the limitless wonders of AI and warn of its dangers including the likes of Bill Gates and Elon Musk all make the same false presumption: that intelligence is a onedimensional spectrum and that technological advancements propel us along that spectrum, down a path that leads toward humanlevel capabilities. Nuh uh. The advancements only happen with labeled data. We are advancing quickly, but in a different direction and only across a very particular, restricted microcosm of capabilities.

The term artificial intelligence has no place in science or engineering. "AI" is valid only for philosophy and science fiction which, by the way, I totally love the exploration of AI in those areas.

3) AI isn't gonna kill you. The forthcoming robot apocalypse is a ghost story. The idea that machines will uprise on their own volition and eradicate humanity holds no merit.

Ok, let's begin with a clip of an AI system out of Austria explaining how it itself works...

What you see it doing here is truly amazing. The network’s identifying all these objects. With machine learning, the computer has essentially programmed itself to do this. On its own, it has worked out the nitty gritty details of exactly what patterns or visual features to look for. Machine learning's ability to achieve such things is aweinspiring and extremely valuable.

The latest improvements to neural networks are called deep learning. They're what make this level of success in object recognition possible....
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