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Data Minefield: How AI is Prodding Governments to Rethink Trade in Data

Author

Listed:
  • Susan Aaronson

    (George Washington University)

Abstract

No nation alone can regulate artificial intelligence (AI) because it is built on cross- border data flows. • Countries are just beginning to figure out how best to use and to protect various types of data that are used in AI, whether proprietary, personal, public or metadata. • Countries could alter comparative advantage in data through various approaches to regulating data — for example, requiring companies to pay for personal data. • Canada should carefully monitor and integrate its domestic regulatory and trade strategies related to data utilized in AI.

Suggested Citation

  • Susan Aaronson, 2018. "Data Minefield: How AI is Prodding Governments to Rethink Trade in Data," Working Papers 2018-11, The George Washington University, Institute for International Economic Policy.
    • Handle: RePEc:gwi:wpaper:2018-11
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    File URL: http://www2.gwu.edu/~iiep/assets/docs/papers/2018WP/AaronsonIIEP2018-11.pdf
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    More about this item

    Keywords

    AI; trade; FTA; WTO; internet; data;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade
    • F5 - International Economics - - International Relations, National Security, and International Political Economy
    • F6 - International Economics - - Economic Impacts of Globalization

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