AI Policy Briefs
The MIT Schwarzman College of Computing and the MIT Washington Office are leading an effort to produce policy briefs with recommendations on the governance of AI. The goal of these briefs is to help shape a technically informed discussion of how to govern AI in a way that will make it safe while enabling AI to thrive.
We have produced a brief describing an overall governance framework for the U.S. and then more topical briefs that elaborate on specifics aspects of AI governance and impacts.
A Framework for U.S. AI Governance: Creating a Safe and Thriving AI Sector
Dan Huttenlocher, Asu Ozdaglar, David Goldston
In consultation with the ad hoc committee on AI regulation
Topical Policy Briefs
Large Language Models
Yoon Kim, Jacob Andreas, Dylan Hadfield-Menell
Can We Have Pro-Worker AI? Choosing a Path of Machines in Service of Minds
Daron Acemoglu, David Autor, Simon Johnson
Labeling AI-Generated Content: Promises, Perils, and Future Directions
Chloe Wittenberg, Ziv Epstein, Adam J. Berinsky, David G. Rand