thông tin biểu ghi
  • Quỹ Châu Á
  • Ký hiệu PL/XG: 658.0563 A2773
    Nhan đề: Prediction machines :

ISBN 9781633695672
DDC 658.0563
Tác giả CN Agrawal, Ajay
Nhan đề Prediction machines : The simple economics of artificial intelligence / Ajay Agrawal...[et al.]
Thông tin xuất bản Boston, Massachusetts : Harvard Business Review Press, 2018
Mô tả vật lý x, 250 p. ; 23 cm.
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.
Thuật ngữ chủ đề Artificial intelligence -Economic aspects
Thuật ngữ chủ đề Decision making-Statistical methods
Thuật ngữ chủ đề Forecasting-Statistical methods
Khoa Khoa Quản trị Kinh doanh
Khoa Quỹ Châu Á
Tác giả(bs) CN Gans, Joshua
Tác giả(bs) CN Goldfarb, Avi
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245 |aPrediction machines : |bThe simple economics of artificial intelligence / |cAjay Agrawal...[et al.]
260 |aBoston, Massachusetts : |bHarvard Business Review Press, |c2018
300 |ax, 250 p. ; |c23 cm.
520 |aThe 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.
541 |aSách tặng từ Quỹ Châu Á
650 |aArtificial intelligence |vEconomic aspects
650 |aDecision making|vStatistical methods
650 |aForecasting|vStatistical methods
690 |aKhoa Quản trị Kinh doanh
690 |aQuỹ Châu Á
700 |aGans, Joshua |eauthor
700 |aGoldfarb, Avi|eauthor
852|a300|bQ12_Kho Mượn_02|j(5): 067703-4, 070474-5, 079552
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