加州参议院 813 号法案强调了联邦人工智能框架的必要性

A version of the following comments was submitted to the California Assembly Committee on Privacy and Consumer Protection on June 30, 2026.

参议院第 813 号法案 (SB 813) 将设立加州人工智能标准和安全委员会。 This commission would develop a voluntary state framework to guide the implementation of voluntary safety standards for AI systems while also supporting voluntary audits and pilot programs to provide policymakers and practitioners with better information about AI risks and performance. The bill would not itself impose new mandatory safety obligations on all AI developers, would not create automatic liability, and would not grant the commission direct enforcement powers. Instead, it provides tools and reference points that other laws, agencies, and procurement policies may choose to use to make AI oversight more consistent and informed.

While SB 813 contains several constructive ideas, the types of standards and auditing framework it envisions are better suited to the federal level than to California alone. AI systems are designed, trained, and deployed across state lines, and the same model can serve users in every state at once, so rules that shape AI governance are inherently interstate rather than purely local. A national approach can provide a single, coherent set of expectations rather than having multiple state commissions issue overlapping and possibly conflicting guidance.

A federal framework could incorporate concepts similar to minimum and advanced safety standards to provide clearer expectations and support a shared audit and evaluation ecosystem that uses common terminology, metrics, and documentation practices. That would make it easier for firms to design internal governance once and then apply it consistently across the country, rather than customizing it state by state.