Google

To protect American innovation and ensure global AI leadership while providing for a safe and secure digital future, leading labs need a unified framework for frontier AI safety, security, incident reporting, and transparency.

Federal law should mandate evidence-backed AI interaction guidelines, disclaimers stating chatbots are not sentient, bans on gamified rewards, and “pause-and-direct” protocols for self-harm related queries.

Leading labs need a unified framework for frontier AI safety, security, incident reporting, and transparency. [...] The 10^26 FLOPs standard used as a placeholder in other regulations could serve as an initial criterion.

Policymakers should avoid blanket oversight mandates; instead, recognize that user intervention should scale with the potential impact of the agent’s actions.

[...] model cards support responsible AI development and the adoption of robust, industry-wide standards for broad transparency and evaluation practices