The debate over AI governance is stuck in a false choice between over-regulation and no regulation. There is a middle way: A pragmatic, evidence-based approach that recognizes the unique challenges and opportunities of both frontier AI and widely-deployed AI applications.
- For the most advanced frontier AI models, an independent, federally overseen, industry-backed organization could set safety standards and verify independent, voluntary audits, similar to how other critical sectors are managed. This creates a nimble way to keep people safe without impacting progress.
- For widely-used AI applications, we can adapt existing laws to address specific social and economic impacts. This means using and updating current laws to tackle challenges in areas like child safety, copyright, and workforce transitions.
We believe a balanced approach can protect the public without paralyzing progress, ensuring everyone can benefit from AI. We hope these ideas contribute to the important ongoing dialogue, and we invite you to read the full paper.
