Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies

This is a great exploration into the fallbacks of current AI governance and shows the error in judging AI on size vs. the data it's trained on.

With the recent veto of SB 1047, it becomes even more important to ask why these proposed policies are lacking. We suggest that all modern AI regulations are overly broad and flawed because they miss the most important part of AI capabilities: data.