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Exploring the impact of artificial Intelligence: Prediction versus judgment

机译:探索人工智能的影响:预测与判断

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摘要

Based on recent developments in the field of artificial intelligence (AI), we examine what type of human labor will be a substitute versus a complement to emerging technologies. We argue that these recent developments reduce the costs of providing a particular set of tasks - prediction tasks. Prediction about uncertain states of the world is an input into decision-making. We show that prediction allows riskier decisions to be taken and this is its impact on observed productivity although it could also increase the variance of outcomes as well. We consider the role of human judgment in decision-making as prediction technology improves. judgment is exercised when the objective function for a particular set of decisions cannot be described (i.e., coded). However, we demonstrate that better prediction impacts the returns to different types of judgment in opposite ways. Hence, not all human judgment will be a complement to AI. Finally, we show that humans will delegate some decisions to machines even when the decision would be superior with human input. Crown Copyright (C) 2019 Published by Elsevier B.V. All rights reserved.
机译:基于人工智能(AI)领域的最新发展,我们研究了哪种类型的人工劳动将替代新兴技术。我们认为,这些最新进展减少了提供一组特定任务(预测任务)的成本。对世界不确定状态的预测是决策的输入。我们表明,预测可以做出更具风险的决策,这对预测的生产率有影响,尽管它也可能会增加结果的差异。我们认为,随着预测技术的改进,人类判断在决策中的作用。当无法描述(即编码)一组特定决策的目标功能时,将执行判断。但是,我们证明,更好的预测会以相反的方式影响不同类型判断的收益。因此,并非所有人类的判断都会成为人工智能的补充。最后,我们证明了即使将决策胜于人工输入,人类也会将某些决策委派给机器。官方版权(C)2019由Elsevier B.V.保留所有权利。

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  • 来源
    《Information economics and policy》 |2019年第6期|1-6|共6页
  • 作者单位

    Univ Toronto, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada;

    Univ Toronto, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada;

    Univ Toronto, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada;

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