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AI and International Trade / Avi Goldfarb, Daniel Trefler.
- Format:
- Book
- Author/Creator:
- Goldfarb, Avi.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w24254.
- NBER working paper series no. w24254
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2018.
- 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 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.
- Notes:
- Print version record
- January 2018.
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