AI hype is a game of arbitrage where players buy a short-term personal advantage (e.g. funding) at a long-term cost to be repaid by the collective. It's all at your expense.
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Every time you overstate the capabilities of an AI system or the speed of AI progress, you are doing the public trust equivalent of taking on credit card debt. Which at some point the industry will have to repay (presumably, culprits are hoping someone else will pay).
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A vertical where this is very obvious is the self-driving hype of 2015
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Had a chat with my boss about the fear mongering that goes on in this domain. How is it being overstated? How would you accurately describe the speed of progress? The conversation around the AI space is confusing.
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yes, though maybe the cost to users is more worrying; the industry will be fine eventually
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somewhat related: https://en.m.wikipedia.org/wiki/CSI_effect
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It's tragedy of the commons all the way down
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Isn't the problem that deploying applications that are overhyped and overclaimed will do a lot of serious damage before we get to that point? Look at how useless all the AI screening of social media has been. (Wherein your last point stands, but....)
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The problem as I see it-if you take any ML/AI book, typically practical examples will be focused around image processing, NLP, and house prices prediction. There is a lack of education and explanation where ML can be applied more, thats why people tend to expect too much from ML
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Very true. By far the only individual who (at least in the financial space) has done something to change this, is Dr.
@lopezdeprado. His book/papers on applied ML in finance are precisely what the industry has needed amidst the fluff and dinosaur age literature on the subject. - Show replies
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The real impacts (systematic claim staking of people’s relationship to time) are happening and because people can’t identify what’s happening they lash out with fear of bigger things. Because the possible (potentially magical) upside is flawless access to other people’s time.
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