Inside the OMB’s Bold New AI Playbook: How Innovation and Trust Hang in the Balance
In this context, traceability refers to an agency’s ability to track and internally audit datasets used for AI, and where relevant, key metadata. A significant enabler of traceability is clear documentation that is meaningful or understandable to individual users and reflects the process for model-driven development.
The memo also indicates the importance of “documenting provenance of the data used to train, fine-tune, or operate the AI” for performance evaluation purposes.
As we have seen in the EU, any legal requirement on transparency of AI “training data” is likely to lead to a battle of lobbyists as to the specific requirements. “Understandable to individual users” may not be highly specific, but it communicates the point quite nicely.
