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AI and international trade

Author: Avi Goldfarb; Daniel Trefler; National Bureau of Economic Research,
Publisher: Cambridge, Mass. : National Bureau of Economic Research, 2018.
Series: Working paper series (National Bureau of Economic Research), no. 24254.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This paper explores the international dimensions of the economics of artificial intelligence. Trade theory emphasizes the roles of scale, competition, and knowledge creation and knowledge diffusion as fundamental to comparative advantage. We explore key features of AI with respect to these dimensions and describe the features of an appropriate model of international trade in the context of AI. We then discuss policy  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Avi Goldfarb; Daniel Trefler; National Bureau of Economic Research,
OCLC Number: 1023510800
Notes: "January 2018"
Description: 1 online resource (31 pages).
Series Title: Working paper series (National Bureau of Economic Research), no. 24254.
Responsibility: Avi Goldfarb, Daniel Trefler.

Abstract:

This paper explores the international dimensions of the economics of artificial intelligence. Trade theory emphasizes the roles of scale, competition, and knowledge creation and knowledge diffusion as fundamental to comparative advantage. We explore key features of AI with respect to these dimensions and describe the features of an appropriate model of international trade in the context of AI. We then discuss policy implications with respect to investments in research, and behind-the-border regulations such as privacy, data localization, standards, and competition. We conclude by emphasizing that there is still much to learn before we have a comprehensive understanding of how AI will affect trade.

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