About AI Resource Zone

AI Resource Zone is a public-information resource center. We track the current state of artificial intelligence, summarize official government guidance, explain what AI means for ordinary consumers, surface ethics and safety material, and publish moderated community opinion. Everything is organized so a curious reader can find a fact, a guide, or a debate without having to wade through marketing copy.

The site combines three content types and keeps the line between them clear at all times. Curated external resources point to original sources — government agencies, academic centers, consumer organizations — with our own short framing on top. Editorial articles are explainers and analyses written or reviewed by a human editor. Public statements are reader-submitted opinions that go through a moderator queue before they appear.

Fact, opinion, and machine-generated summary are separated at the data layer and at the display layer. Government guidance is labeled as such, opinion is clearly framed as opinion, and any summary produced with help from a language model is labeled inline. We make this separation a structural property of the site, not a courtesy disclaimer at the bottom of the page.

The site is maintained by James Henderson and a small editorial team. AI Resource Zone is part of an independent ecosystem of sibling properties that explore different angles of the same broad question: how should we work with AI in public life. The other properties in the ecosystem are ai-coalition.net, aimeetup.co, 0dte.solutions, bizbase.app, misa.solutions, and jameshenderson.online.

No external publisher, advertiser, or political organization funds or directs the editorial work. We disclose the ecosystem affiliation openly because every site in it shares the same maintainer, and readers should know that when they follow a link from one property to another. Each ecosystem entry on this site links to an internal write-up first so the editorial framing is visible before the outbound click.

Where a contributor with a relevant interest writes about a topic — for example, an industry connection or prior employment — that interest is named at the top of the article. We err on the side of disclosing more than we have to.

Sourcing comes first. For government and policy material we link to the originating agency or legislature whenever possible, and we keep the date the source was published or last updated visible alongside our framing. For consumer-facing topics we draw on national consumer-protection bodies, established academic centers, and primary research, and we avoid linking to material gated behind paywalls or signup walls when an open primary source is available.

Editorial review is the second step. Every article carries an author, a published date, and a last-reviewed date. Drafts move through a review status before they are made public. When a section of an article reflects an editor's judgment rather than reporting, that paragraph is prefixed with "Editor's note:" so the boundary is visible to the reader. The full editorial policy lives on its own page so the rules are accountable to anyone who wants to check them.

Statement moderation is the third step. Reader-submitted statements enter a pending queue. A moderator approves, rejects, or flags each entry, and rejection reasons are recorded in an audit trail. Approved statements are labeled "Community opinion, not fact" wherever they appear. Corrections to any of our own writing are handled openly: contact us through the form on this site, and substantive corrections are appended dated. The contact form has a dedicated Correction category and the editor reviewing the message responds with whatever change was made.

We use language models to help draft and summarize editorial content. Every article that benefits from machine assistance is reviewed by a human editor before it is published, and the editor is responsible for what the article says. When a passage is a generated summary of a longer piece of source material, we label it inline as a generated summary so the reader knows which sentences came from a model and which from a human.

The Chat Center on this site uses an Ollama-hosted qwen3:0.6b model to answer general questions about AI, government resources, and consumer topics. It is framed as a research aid, not as legal, medical, or financial advice. Every chat session shows that disclaimer, every reply runs through a moderation pre-check and post-check, and replies that fall outside the persona's scope are blocked rather than guessed at.

The boundary between fact, opinion, and generated summary is never blurred. Government guidance pages do not mix model-written paragraphs with sourced material in an unmarked way. Statements do not get rewritten by a model — only the moderator's audit trail and any flag reason are added. If we cannot tell a reader where a sentence came from, we do not publish it.

The most useful thing a reader can do is submit a statement. If you have a perspective on an AI topic — a worry, an enthusiasm, a critique, a piece of practical experience — write it up and send it through the statements form. It will appear after a moderator review with a clear opinion label. Repeat submissions and submissions that breach the editorial rules are rejected with a recorded reason, and the submitter can ask for that reason at any time.

Members can follow topics, save resources, and receive lightweight notifications when a topic they follow has new material. You can also browse the rest of the ecosystem from the footer, or get in touch through the contact page for press enquiries, partnership questions, factual corrections, or general feedback. Sign-up is optional; everything that does not require an account works without one, and the account itself stores only an email and a hashed password.

If you would prefer to stay strictly anonymous, the search, the chatbot, and the public reading surfaces require no account and store no personal information beyond what is described on the privacy page. The site is meant to be useful to a passing reader as well as a registered member, and we treat both visit modes as first-class.