Sometimes the simplest technology is the most effective
Andriy Onufriyenko via Getty Images
COMMENTARY | Government agencies shouldn't need another platform to prepare official information for artificial intelligence.
For more than two decades, government agencies have adapted their publishing practices to meet changing technologies. Websites became mobile-friendly. Search engine optimization became routine. Accessibility standards became part of every major redesign.
None of those changes altered the fundamental mission of government communications, but each required technology providers to evolve the platforms agencies already depended upon.
Artificial intelligence presents a similar transition.
Increasingly, residents are asking AI systems questions that once began with a visit to a government website. A parent may ask about childhood vaccination requirements. A business owner may ask about permitting rules. During a hurricane, residents may turn to an AI assistant before navigating a county emergency management website. Whether agencies planned for it or not, AI has become another channel through which government information is discovered and interpreted.
That shift creates a challenge that extends beyond the accuracy of AI models themselves. Government agencies can control what they publish, but they have far less control over how artificial intelligence systems locate, interpret and attribute that information once it enters the broader digital ecosystem. As AI becomes another intermediary between agencies and the public, the mechanics of publishing begin to matter in new ways.
Fortunately, addressing that challenge does not necessarily require government to adopt another communications platform or replace software that already performs its job well. Most state and local governments have spent years refining approval workflows, records management policies and content management systems. Those investments should not become obsolete simply because a new generation of information consumers happens to be software rather than people.
A more practical approach is to extend existing publishing systems rather than replace them. Instead of asking communications professionals to learn another application, GovTech providers can incorporate AI-ready publishing directly into the software agencies already use. From the publisher's perspective, the process could be as simple as selecting an additional publishing button alongside the traditional Publish command.
Behind that familiar interface, the platform would generate the machine-readable records, timestamps, attribution and verification information needed to help AI systems distinguish authoritative government communications from the countless unofficial sources available online.
The important point is not the button itself. It is the design philosophy behind it. Government technology has historically succeeded when it reduces complexity for agencies rather than introducing more of it. Few communications professionals want another dashboard to manage or another workflow to monitor. They want technology that fits naturally into established publishing practices while quietly solving new technical problems in the background.
The transition to AI-assisted information retrieval should follow the same principle. Government agencies should continue communicating with residents the way they always have, while the technology providers supporting those agencies assume responsibility for making those communications understandable to artificial intelligence systems. If the additional work required to prepare information for AI can be reduced to a single publishing option embedded within existing software, then agencies gain the benefits of modern infrastructure without the burden of another platform.
The history of government technology suggests that the most successful innovations are rarely the most visible. They are the ones that integrate so naturally into existing work that, after a few years, people forget they were ever new.
David Rau works at the intersection of public-sector communication and emerging technology, focusing on how authority, attribution and trust function as AI systems increasingly mediate public access to government information.
NEXT STORY: Kristen Gonzalez and the fight to regulate AI