Journal of Economic Literature · 2022 · Laurence J. Kotlikoff
中文摘要
由人工智能（AI）专家阿杰·阿格拉沃尔、约书亚·甘斯和阿维·戈德法布合著的《预测机器：人工智能的简单经济学》直言不讳。AI完全关乎预测——机器精确地学习为我们做什么以及对我们做什么。这种学习正以极速发生，因为AI利用大数据来攫取我们的所知与所好。作者对AI的寄生潜力既部分迷恋又部分恐惧。读者应阅读这本令人不寒而栗且富有洞见的书，但他们应当备着一瓶苏格兰威士忌来读，最理想的情况是，这瓶酒来自苏格兰一家近期已实现全自动化的古老酿酒厂。（JEL C45, C55, E26, M10, M20, O30）
Abstract
Prediction Machines: The Simple Economics of Artificial Intelligence, by artificial intelligence (AI) experts, Ajay Agrawal, Joshua Gans, and Avi Goldfarb, pulls no punches. AI is all about prediction—machines learning precisely what to do for us and to us. The learning is occurring at warp speed, as AI uses big data to pick our brains for what we know and what we like. The authors are partly infatuated and partly terrified by AI’s parasitic potential. Readers should read this chilling and insightful book, but they should do so with a bottle of scotch, ideally from one of Scotland’s ancient distilleries that has recently been fully automated. (JEL C45, C55, E26, M10, M20, O30)