Missouri’s bipartisan House Future Caucus released a 14-page guide this week intended to help cities and counties evaluate proposed AI-linked data center projects. The document’s own metadata, however, listed “OpenAI” as the author. Lawmakers said they did not use a large language model. The contradiction quickly spread on social media.
AI Infrastructure Community Evaluation Framework (AICEF) is introduced on August 11, 2026, at Lindenwood University in St. Charles. Representative Colin Wellenkamp, who is the Future Caucus Chairman, introduced this framework and explained how useful it could be for the municipalities when evaluating proposals for data centers. It is not regulation but rather factors to consider, such as the demand for electricity, water consumption in times of drought, effect on rates of the present consumers, incentives, and benefits for the communities.
The full framework is available as a PDF from Lindenwood University. The Caucus and partners have also pointed local governments to the resource hosted on the university site.
KSDK political editor Mark Maxwell reviewed the document’s properties after its release and found the author field listed as “OpenAI.” Maxwell reported that lawmakers denied using a large language model. Wellenkamp initially said,
“We did not use a large language model AI for that,”
then added
“not to my knowledge.”
After being shown the metadata, he maintained that “that document was created by people” and stood by its content.
Metadata can reflect the software used, a template, an account, or the last editing environment. It does not by itself prove that OpenAI employees wrote the text or that ChatGPT generated every paragraph. Still, the “OpenAI” label remaining in the file after public denials produced a pointed irony: a transparency-oriented guide for AI infrastructure whose digital fingerprint pointed to an AI company.
Missouri communities continue to confront the practical consequences of data-center development, including rate impacts, water use, and tax incentives. Lawmakers have indicated they hope to advance related legislation in 2027 addressing residential energy protections, limits on AI serving as a health proxy, and liability questions. In the meantime, AICEF is offered as interim guidance for local governments.
Metadata discrepancy story is correct regarding the documented field of the author and denial from the law makers. The inference of the whole framework being an AI-based rule making process is not warranted from the available data. The Caucus managed to build a working local instrument without closing the loop on its digital origin. It is right to examine the application of AI in policy making process but claiming that the whole framework is AI-based is unwarranted.
