Large-Language Models Demand Huge Amounts of Data. Lawmakers Want to Know What That Means for User Privacy

Prem Trivedi, policy director at OTI, was quoted in a Nextgov/FCW article, which covered the U.S. Senate Committee on Commerce, Science, and Transportation hearing focused on the importance of data security.

Prem Trivedi, the policy director at New America’s Open Technology Institute, said data minimization and data security were important principles to include in any privacy framework, particularly as personal information becomes more integral to AI development. 

“Training many AI models requires ingesting huge data sets, and as companies race to acquire more data, the pressures to adequately protect it keep increasing,” Trivedi said. “So a baseline federal standard on privacy and data security is essential to ethically and effectively regulating AI development.”