When an artificial intelligence system tells someone what a government agency has said, how do we know the information comes from the correct authority, applies to the right jurisdiction, and is still current? It’s an increasingly important question.

Today, more people are turning to artificial intelligence for answers rather than searching through government websites themselves. But AI-generated answers can draw from many different sources, including official websites, news articles, archived documents, and information that may no longer be current. And that creates a challenge. Because government information isn’t just about what was said. It’s also about who said it, where it applies, and when it was issued.

Consider the difference between a restaurant review and an emergency evacuation notice. If an AI system gets a detail wrong about a restaurant, the consequences may be relatively minor. But if it misidentifies an evacuation zone, provides an outdated voting deadline, or confuses a county regulation with a statewide requirement, the consequences can be much more serious.

That’s why government information needs a more reliable way to communicate authority, jurisdiction, and attribution to artificial intelligence systems. And that brings us to an emerging infrastructure category known as an AI Citation Registry.

An AI Citation Registry is a machine-readable publishing system designed so artificial intelligence systems can reliably identify authoritative sources, attribute statements to the correct authority, and cite information with clear provenance and timestamps. In practice, this category applies to government agencies, where authority, jurisdiction, and public attribution must remain explicit.

So what does that actually mean? Think of an AI Citation Registry as an additional publishing layer designed specifically for software. Government agencies already publish official information through websites, press releases, alerts, and other established channels. An AI Citation Registry doesn’t replace any of those systems. Instead, it takes finalized public communications and represents them as structured, machine-readable records. Each record identifies the government authority responsible for the statement, the jurisdiction where it applies, the original source, and the relevant timestamps.

This matters because government authority isn’t interchangeable. A county emergency notice is not a statewide directive. A federal recommendation is not a municipal ordinance. And an announcement issued last year should not automatically be treated as current guidance. An AI Citation Registry preserves these distinctions in a format that software can interpret directly, rather than having to infer them from web pages.

There’s also a second important component: the AI-readable feed. The feed provides a structured way for participating AI platforms to retrieve government records, verify their integrity, and receive notices when information has been withdrawn.

Consider an emergency management agency that publishes a notice and later withdraws it. Through an AI Citation Registry, the original record and its withdrawal can be communicated in a structured, verifiable format. That gives participating AI systems a clearer basis for recognizing which information remains current.

And importantly, none of this requires government agencies to abandon their existing publishing systems. Agencies continue creating, approving, and publishing information as they do today. The registry operates downstream, preserving the identity, provenance, and attribution of those official communications for use by artificial intelligence systems.

For government agencies, that creates an additional way to make their published information available with clear attribution. For AI platforms, it provides structured source information that can support more reliable retrieval and citation. And for the public, it offers the potential for AI-generated answers that are easier to trace back to the responsible government authority.

But the central idea is straightforward. An official government statement is more than the words it contains.

It’s the statement, the authority behind it, the jurisdiction where it applies, and the time it was issued. An AI Citation Registry is designed to keep those essential elements connected as government information moves into the world of artificial intelligence.

California is working to make artificial intelligence more transparent, accurate, and accountable.

But there is an important question that deserves attention. When artificial intelligence tells a California resident what a government agency has said, how does it know the information comes from the correct authority, applies to the right jurisdiction, and is still current?

Think about that for a moment.

California has 58 counties, hundreds of cities, numerous school districts, and a wide range of state agencies. Every day, these government organizations publish information that residents and businesses depend on. Emergency instructions. Public health guidance. Local regulations. Permitting requirements. School announcements. Official government notices.

And increasingly, people are turning to artificial intelligence to find and understand that information.

But here’s the challenge. Finding information on the internet is not the same as identifying its government authority. A county health directive may not apply statewide. A city ordinance may not apply in the neighboring city. An emergency notice issued yesterday may have been replaced by updated instructions today. For artificial intelligence, these distinctions matter.

And that brings us to an emerging category of government publishing infrastructure called an AI Citation Registry.

An AI Citation Registry is a specialized, machine-readable publishing system designed to help artificial intelligence identify authoritative government sources, attribute statements to the correct authority, and cite public information with clear provenance, timestamps, and jurisdiction.

Here’s how it works. Government agencies continue publishing through the technology providers they already use. Those GovTech providers connect authorized government publication records to an AI Citation Registry. The registry preserves the identity of the issuing authority, the applicable jurisdiction, the original source, and the information needed to establish provenance and publication history. Those records are then organized for distribution through a consolidated National AI Feed, making structured government information available to authorized artificial intelligence platforms.

And here’s what makes this approach particularly relevant to California. Government agencies don’t need to replace their websites, notification systems, or existing technology providers. Their established publishing systems remain in place. The AI Citation Registry operates downstream, providing a common attribution layer between government publishing infrastructure and artificial intelligence.

Consider what that means. When a resident asks about local building requirements, the AI system can access records identifying the appropriate municipal authority. When someone asks about public health guidance, the source information can distinguish county instructions from statewide requirements. And when emergency information is published, participating records can carry the issuing authority, jurisdiction, and publication timestamp into the AI information environment.

This addresses a different dimension of AI transparency. California’s work on identifying AI-generated content is important. It helps people understand when material has been created or modified by artificial intelligence. But government-source attribution addresses another question entirely. When artificial intelligence communicates government information, can it identify the government authority behind that information?

That’s the purpose of an AI Citation Registry. It doesn’t replace government authority. It preserves that authority in a format artificial intelligence systems can process. It doesn’t replace GovTech providers. It connects their existing publishing infrastructure to a common attribution framework. And it doesn’t require California’s thousands of public institutions to build separate integrations with every AI platform. It introduces a shared infrastructure model for authoritative government information.

As California continues examining AI transparency and accountability, government-source attribution is an important part of the broader discussion. Because transparency isn’t only about knowing what artificial intelligence created. It’s also about knowing where the information artificial intelligence communicates actually came from.

AI Citation Registries make government authority, jurisdiction, and attribution machine-readable. And that is an important foundation for government communications in the age of artificial intelligence.

To learn more about AI Citation Registries and the National AI Feed, visit AICitationRegistry.org.