Maybe both. AI will require more from us, not less, because how we choose to use these tools will make an increasingly stark difference between benefit and ruin.
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With historically low unemployment, employers are tempted to reduce costs and speed up the process using artificial intelligence (AI) systems. These systems might help but, for best results, let’s have a look at the problems they can’t solve and some that they might create.
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Jay Richards asks: Just imagine if our government had taxed earlier technological innovations because they threatened jobs. Does anyone think a targeted “tractor tax” would have been a good idea in the early twentieth century?
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Both computers and humans can be fooled by patterns that appear significant but really aren’t. But the bigger the computer, the more random patterns it can find in the vast swathes of data processed.
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Some problems experts hope AI can help with may be outside AI's capacities. Some people may simply want to believe doctored images and deepfakes, for example.
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AI can speed up translation of ancient documents where only a few scholars know the language. Whether it can help with mysterious unknown languages like Minoan A is another question.
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One new issue that the cloud creates is that programmers are more often required to be “full stack” developers,” Jonathan Bartlett explains. “Unfortunately, most programmers coming out of college have little to no system administration experience. That’s why this book is based on the ‘full stack’ concept, showing how system administration and programming relate to each other.”
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Turning AI loose on some of these vexing problems should give literary scholars more to write about rather than less. The AI verdict may not always be right but it is bound to be food for thought.
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The more scrolls are deciphered using new AI methods, the more archeologists will have to study and write about.
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Far from reducing jobs in astrophysics, AI is likely to create many more of them. As far more information becomes available, talented people will be needed to interpret, teach it, and write about it for the public.
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The problem is, WeWork is not a technology company. Neither is Airbnb or Uber. They all use software via the internet to leverage surplus physical space, whether the space is in an office building, a private home, or a privately owned car.
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I have nothing against robots. (I am against bad pizza.) I do, however, get very tired of the science fiction-fantasy of humanity-squashing robots. And that’s all it is: A fantasy.
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At times, we may think a more powerful illusion is a good enough substitute for reality.
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By all means, let’s build machines that enhance our abilities. But let’s not forget that the really amazing thing is not the tool, but the tool builder.
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Robot error turned out to be a bigger problem than human error.
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We treat the assembly line as if it has always been here, says business prof Jay Richards, but it only dates back to Henry Ford, a century ago. It’s disappearing but work isn’t disappearing. It’s just changing a lot.
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Do I believe AI will be emotionally indistinguishable from human connection? No, personally I don’t. Nonetheless, I loved the short film. It was simple but very well-executed. If you’re looking for a short but thought-provoking film about AI to give your mind something to chew on over the weekend, I would highly recommend Sprites.
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About the Big Tech companies, he says, “The story is not that they have done a lot of bad things but that they have not done enough good things. That remains the core challenge of Silicon Valley.”
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Predictive text analyzes what was written and guesses what comes next. Whole sentences, paragraphs, and essays. Seabrook tested it on his own work…
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Despite the continued march of technological change in recent years, the American employment picture has been bright, though many remain dissatisfied with their current circumstances or prospects.
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