The AI Briefing HQ

About

Plain-English AI news and guides for British readers.

Disclosure: our articles are researched from the public sources we cite. We don't carry out hands-on product testing, and nobody pays to be included.

What this site is

The AI Briefing HQ is a small, independent publication that explains what is happening in artificial intelligence and why it matters to people in the UK. Most AI coverage is written for American readers or for engineers. We write for everyone else: people who use AI tools at work, managers deciding whether a new tool is worth paying for, teachers and parents trying to keep up, and anyone who wants to understand a headline without wading through hype.

We publish two kinds of article. Weekly briefings summarise the AI news that matters most that week, with links to the original announcements, papers and official documents. Guides go deeper on a single question, such as how machine learning models are evaluated, how newsrooms are using AI, or how to pick an AI newsletter that is worth your time.

Who writes it

The site is edited by Ellis Hart, a UK-based editor covering practical AI news for British readers. Ellis sets the topics, the editorial standards and the checks every article has to pass, and is responsible for what we publish. "Ellis Hart" is a pen name. We think it's fairer to tell you that than to invent a biography.

Articles are produced with AI-assisted research and drafting, then checked against the rules in our editorial policy. We use AI tools to help with structure, summarising long documents and first drafts. We don't treat them as a source of facts. Every factual claim has to trace back to a source we link to, and articles that fail our checks are not published.

The AI Briefing HQ is part of DYOR Collective Labs, a small group of independent websites. We don't claim credentials we don't have, and we don't use stock photos of people pretending to be our staff.

What we cover

  • Weekly AI briefings: the main model releases, policy changes, research results and business news of the week, with a short note on what each one means in practice.
  • UK angle: where it applies, we explain how a development affects people and organisations here. That includes UK regulation and guidance from bodies such as the Information Commissioner's Office, the Competition and Markets Authority and the AI Security Institute, as well as pricing in pounds and availability in the UK.
  • Practical guides: how AI tools work, what they are good and bad at, and how to evaluate claims made about them.
  • Newsletters and sources: honest comparisons of the briefings, newsletters and feeds people use to stay informed about AI.

What we don't do

  • We don't invent experience. We won't say we "tested" a product when we didn't, and we don't make up quotes, case studies or testimonials.
  • We don't publish statistics without a source. If we can't link to where a figure comes from, we leave it out.
  • We don't sell coverage. Companies can't pay to be included, ranked or recommended.
  • We don't give legal, financial or medical advice. Where a topic touches on those areas, we point to official guidance.
  • We don't chase volume. We would rather publish one useful briefing a week than ten thin ones.

How we keep articles accurate

AI moves quickly, so articles go out of date. When something we've written is overtaken by events, we update it and change the "Updated" date at the top. That date only changes when the content itself changes, not when we redesign the site. If an error changes the meaning of an article, we correct it and add a note explaining what changed.

We prefer primary sources: company announcements, research papers, government publications and regulators' guidance. Where we rely on reporting by another publication, we name and link to it.

How the site is funded

The site may carry advertising and, occasionally, affiliate links. Neither affects what we write or recommend. Affiliate links are labelled, and advertisers have no say over our content. Details of cookies and data are in our privacy policy.

How a weekly briefing is put together

Each briefing starts with a list of candidate stories from the past week, drawn from company blogs, research archives, government and regulator publications, and established news outlets. We pick the handful that are most likely to affect readers in the UK, read the original source for each one, and write a short summary that says what happened, who it affects and what is still uncertain. Stories that rest on a single unconfirmed report are labelled as such or left out. Each briefing ends with links to every source, so you can read further and check our work.

Get in touch

If you spot a mistake, have a question about an article, or want to suggest a topic for a future briefing, please use our contact page. We read every message and normally reply within three working days.

Content Attribution: All content on The AI Briefing HQ is original. External sources are attributed where applicable. Trademarks belong to their respective owners.