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NBER Tutorial:
AI, Work and the Economy |
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Presented by
Erik Brynjolfsson |
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September 12, 2018 |
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Readings |
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Required: |
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Brynjolfsson,
E., & Mitchell, T. (2017). What can machine learning do? Workforce
implications. Science, 358(6370): 1530-1534. http://science.sciencemag.org/content/358/6370/1530 |
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Brynjolfsson, E., Mitchell, T. and Rock, D. (2018). What can machines learn and what does it mean for occupations and the economy? AEA Papers and Proceedings 2018, 108: 43. https://www.aeaweb.org/articles?id=10.1257/pandp.20181019 |
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Furman, J. & Seamans, R. (2018). AI and the economy. NBER Working Paper No. 24689. https://www.nber.org/papers/w24689 |
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Brynjolfsson,
E., Rock, D., & Syverson, C. (2017). Artificial intelligence and the modern
productivity paradox: A clash of expectations and statistics. In A. K. Agrawal, J. Gans,
& A. Goldfarb (Eds.), Economics of Artificial
Intelligence (forthcoming).
Chicago, IL: University of Chicago Press. https://www.nber.org/chapters/c14007 |
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Optional: |
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Acemoglu, D. & Restrepo, P. (2018). The race between man and
machine: Implications of technology for growth, factor shares, and
employment. American Economic Review, 108 (6): 1488-1542. DOI: 10.1257/aer.20160696 https://www.aeaweb.org/articles?id=10.1257/aer.20160696&within%5Bauthor%5D=on&journal=1&q=acemoglu&from=j |
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Brynjolfsson,
E., Hui, X. & Liu, M. (2018) Does machine translation affect
international trade? Evidence from a large digital platform (March 5, 2018).
Available at SSRN: https://www.nber.org/papers/w24917 |
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Mitchell, T. &
Brynjolfsson, E. (2017). Track how technology is
transforming work. Nature 544:
290-292. |
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https://www.nature.com/news/track-how-technology-is-transforming-work-1.21837 |
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