Editorial policy
This page explains how articles on The AI Briefing HQ are researched, written, checked and corrected. It applies to everything we publish, and it is the standard we expect readers to hold us to.
Who is responsible
The site is edited by Ellis Hart (a pen name), a UK-based editor covering practical AI news for British readers. The editor chooses topics, sets these rules and is accountable for what is published. The AI Briefing HQ is part of DYOR Collective Labs.
How we use AI
We're open about it: articles are produced with the help of AI tools. We use them to research, summarise long documents, suggest structure and write first drafts. We don't use AI as a source of facts. Language models can state false things confidently, so every factual claim in a published article must be supported by a source we link to.
Every new article is checked by automated quality rules before publication. Articles that fail are held back, not published. The checks cover length, sourcing, duplication of existing articles, relevance to the UK and the absence of placeholder text. The editor sets and reviews these rules.
Sources
- Primary sources first. We cite official announcements, research papers, model and system documentation, court and government documents, and regulators' guidance wherever possible.
- At least two sources. Every article cites at least two independent sources.
- Named reporting. When we rely on another publication's reporting, we name it and link to it.
- No unsourced statistics. A figure has to link to where it comes from, or it is left out.
- Dates matter. AI changes quickly, so we say when something was announced and avoid presenting old news as new.
Our rules
- No invented experience. We don't claim to have personally tested, used or visited something, and we don't make up anecdotes, quotes, testimonials or case studies.
- No placeholders or filler. Unfinished text is never published.
- On topic. We only publish articles about AI and how it affects people and organisations, mainly in the UK. We avoid near-duplicates of articles we've already published.
- A steady pace. We publish a few articles a week at most, so each one can meet these rules.
- No paid placement. Nobody can pay to be included, ranked or recommended. Advertising and any affiliate links are kept separate from editorial decisions, and affiliate links are labelled.
- Not professional advice. Articles touching on law, money, health or employment give general information and point to official guidance. They aren't a substitute for professional advice.
Dates on articles
Each article shows the date it was first published. An "Updated" date appears only when the content of the article has changed. It doesn't change when we redesign the site or make technical changes.
Corrections
If you spot a mistake or something out of date, please tell us through our contact page, with the article's address and what you think is wrong. We aim to reply within three working days. Factual errors are corrected promptly. If a correction changes the meaning of an article, we add a short note at the end saying what was changed and when. If an article can't be fixed, we remove it and redirect its address to the most relevant page.
Conflicts of interest
We don't hold paid relationships with the AI companies we write about. If that changes, or if an article covers a product we earn a commission on, we say so clearly in the article.
Older articles
Some articles were published before these rules were introduced. In October 2026 we reviewed the site and retired articles that were off-topic or below standard. If you find something that still falls short, please let us know.
See also our disclaimer and about page.
Last updated 23 October 2026.
Content Attribution: All content on The AI Briefing HQ is original. External sources are attributed where applicable. Trademarks belong to their respective owners.