NBER Call for Papers - Economics of Artificial Intelligence (AI)

February 4, 2020

The NBER's Project on the Economics of AI, sponsored by the Alfred P. Sloan Foundation, will hold its fourth annual meeting in Toronto on 24-25 September 2020. Papers and video from the 2019 conference are available at https://www.economicsofai.com/nber-conference-toronto-2019.  The meeting will be co-organized by Ajay Agrawal, Joshua Gans, and Avi Goldfarb, all of the University of Toronto and NBER, and Catherine Tucker of MIT and NBER.

Submission deadline: June 1, 2020

The meeting will feature papers on topics broadly related to the economic effects of artificial intelligence, including, but not limited to:

  •  The impact of AI on business practices and government policy
  •  The adoption and diffusion of AI
  •  How AI might impact on the labour market (including via automation)
  •  AI and inequality
  •  Macroeconomic impact of AI
  •  The regulation of AI
  •  Privacy and security of AI
  •  AI and discrimination
  •  AI and education
  •  The use of AI to improve decision-making
  •  The use of machine learning in economics
  •  Market design with AI

Submissions, which may be original research or overviews providing a research agenda, should be uploaded by midnight (EDT) June 1, 2020 here:

Early submissions are welcome.  The co-organizers welcome submissions from researchers with and without NBER affiliations, from early-career scholars, on theoretical as well as empirical topics, and from researchers who are from groups that are under-represented in the economics profession.  Please forward this call for papers to colleagues who might be interested but who might not have received it.

Please direct questions about conference logistics to Carl Beck at the NBER Conference Department (cbeck@nber.org), and other questions to Avi Goldfarb (avi.goldfarb@utoronto.ca).


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