Economics of Artificial Intelligence: Political Economy Challenges
The eighth annual NBER Economics of Artificial Intelligence (AI) Conference will be held on September 19-20, 2024 in Toronto, Canada. The conference is made possible by the generous support of the Alfred P. Sloan Foundation.
The conference will focus on the political economy of artificial intelligence. 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 seventh conference are available.
Topics related to the political economy of AI include, but are not limited to:
* AI and political power
* AI and misinformation
* AI’s impact on public finance
* AI and the economics of national security
* AI and comparative advantage * AI and the economics of surveillance
Original research papers, as well as overviews that offer a research agenda, may be presented. The NBER especially 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, upload completed papers by 11:59pm (EDT) on June 1, 2024.
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 2024. Authors chosen to present papers will be notified in late June 2024. All co-authors will be invited to participate in the 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.