Comment by Don Beyer

Artificial intelligence foundation models commonly described as a ‘black box’ do not inherently give consumers the tools to understand why a model gives a particular response. Giving users more information about the model—how it was built and what background information it bases its results on—would greatly increase transparency. This bill would help users determine if they should trust the model they are using for certain applications, and help identify limitations on data, potential biases, or misleading results. When a model’s bias could lead to harmful results like rejections for housing or loan applications, or faulty medical decisions, the importance of this reform becomes clear and very significant.