Talking to a Brick Wall: The US Government’s Response to Public Comments on AI

CIGI Paper No. 319

April 28, 2025

Building trust in artificial intelligence (AI) is an elusive goal, especially if AI models are closed or partially open, making it difficult for users to determine if these models are reliable, fair or trustworthy. For this reason, the Biden administration sought public input on the potential risks and benefits of these models as well as policy approaches. In an executive order, he tasked the assistant secretary of commerce for communications and information (who was also head of the National Telecommunications and Information Agency [NTIA]) to solicit feedback through a public consultation process. NTIA advises the president on information, telecommunications and related technology policy, including AI. The author used a landscape analysis to examine the dialogue between US officials and the public response. Although some 300 Americans participated in the dialogue, these commenters did not provide a representative sample of Americans who use or might be affected by open versus closed AI systems. Those who did provide their opinions likely had a direct stake in these issues. The dialogue was also dysfunctional because policy makers did not really listen to — or even report on — what they heard.

About the Author

Susan Ariel Aaronson is a CIGI senior fellow, research professor of international affairs at George Washington University (GWU) and co-principal investigator with the NSF-NIST Institute for Trustworthy AI in Law & Society, where she leads research on data and AI governance.