Prediction machines : The simple economics of artificial intelligence / Ajay Agrawal...[et al.]
The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job o...
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| Định dạng: | text |
| Ngôn ngữ: | eng |
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Harvard Business Review Press,
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| Truy cập trực tuyến: | http://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/600 congnghe/anhbiasach/17814_prediction machinesthumbimage.jpg http://elib.ntt.edu.vn/Opac/DmdInfo.aspx?dmd_id=17814 |
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| Tóm tắt: | The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. |
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