GovWhitePapers Logo

Sorry, your browser is not compatible with this application. Please use the latest version of Google Chrome, Mozilla Firefox, Microsoft Edge or Safari.

Preparing for Generative AI in the 2024 Election: Recommendations and Best Practices Based on Academic Research

This white paper is the result of a partnership between the University of Chicago Harris School of Public Policy and the Stanford Graduate School of Business intended to generate non-partisan, expert recommendations on various critical AI governance issues.

In late August 2023, the two institutions hosted a convening of experts from academia, technology, industry, and civil society who explored the challenges of generative artificial intelligence for the 2024 U.S. Election and opportunities for establishing best practices and governance guidelines.

  • Author(s):
  • Ethan Bueno de Mesquita
  • Brandice Canes-Wrone
  • Andrew B. Hall
  • Kristian Lum
  • Gregory J. Martin
  • Yamil Ricardo Velez
  • Share this:
  • Share on Facebook
  • Share on Twitter
  • Share via Email
  • Share on LinkedIn
Preparing for Generative AI in the 2024 Election: Recommendations and Best Practices Based on Academic Research
Format:
  • White Paper
Topics:
Website:Visit Publisher Website
Publisher: The Stanford Graduate School of Business
Published:November 1, 2023
License:Copyrighted

Featured Content

Contact Publisher

Claim Content