The seventh annual NBER Economics of Artificial Intelligence (AI) Conference will be held on September 22, 2023 in Toronto, Canada. 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 sixth conference are available at:
Research topics that may be examined at the conference include, but are not limited to:
* How AI might impact on the labour market (including via automation)
* AI and inequality * AI-powered tools in software development
* Macroeconomic impact of AI
* System-level changes from AI
* The regulation of AI
* The impact of AI on business practices and government policy
* AI and the economics of health and healthcare
* The adoption and diffusion of AI
* Privacy and security of AI
* AI and discrimination
* AI and education
* AI and the economics of national security
* 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 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 papers by 1:59pm (EDT) on July 24, 2023.
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 2023. Authors chosen to present papers will be notified in early August 2023. All co-authors will be invited to participate in the conference.
Questions about the submission process or conference planning may be addressed to email@example.com; questions about the subject matter of the meeting may be addressed firstname.lastname@example.org.