Call for Papers - Economics of Artificial Intelligence

Virtual Conference - September 23-24, 2021

The fifth annual NBER Economics of Artificial Intelligence (AI) Conference will be held virtually on September 23-24, 2021.  The conference, which is made possible by the generous support of the Alfred P. Sloan Foundation, will showcase research on a broad range of AI-related issues.   It will be co-organized by NBER researchers Ajay Agrawal, Joshua Gans, and Avi Goldfarb of the University of Toronto, and Catherine Tucker of MIT.  Papers from the fourth conference are available at https://www.economicsofai.com/nber-conference-toronto-2020


Research topics that may be examined at the conference include, but are 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 labor 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

Original research papers, as well as overviews that offer a research agenda, may be presented.  The NBER welcomes submissions by scholars who are early in their careers, who are not NBER affiliates, and who are members of under-represented groups. To be considered for inclusion on the program, completed papers must be uploaded by 11:59pm (EDT) on May 31, 2021 via the following link:

https://conference.nber.org/confsubmit/backend/cfp?id=AIf21

Please pass this call for papers on to colleagues who might be interested.  Please do not submit papers that have been accepted for publication and that will be published by September 2021.  Authors chosen to present papers will be notified in late June, 2021.  All co-authors will be invited to participate in the virtual conference. Questions about the submission process or conference planning may be addressed to confer@nber.org; questions about the subject matter of the meeting may be addressed to avi.goldfarb@utoronto.ca.