Considerations for Governing Open Foundation Models
series of issue briefs on key policy issues related to foundation models—machine learning models trained on massive datasets to power an unprecedented array of applications. Drawing on the latest research and expert insights from the field, this series aims to provide policymakers and the public with a clear and nuanced understanding of these complex technologies, and to help them make informed decisions about how best to regulate and govern their development and use.
Author
Rishi Bommasani, Sayash Kapoor, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Daniel Zhang, Marietje Schaake, Daniel E. Ho, Arvind Narayanan, Percy Liang
Goals
Improved data accessibility