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AI in journalism — the UK hub

Artificial intelligence touches every part of journalism now — how newsrooms work, what you must disclose, a growing beat in its own right, and a new toolkit. This hub pulls together our UK guidance in one place.

The rule under it all: AI is a tool, not a source. Verify what it produces, be transparent with readers about how you used it, and never publish AI-generated facts, quotes or images without checking them and disclosing them where it matters.

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What AI changes for UK journalists — and what it doesn’t

AI now shows up in four distinct places in a working journalist’s life. It is a production tool — transcription, translation, research and drafting assistance that can genuinely save hours. It is a standards question — when does using it need to be disclosed, and what do IPSO Clause 1, NUJ policy and emerging provenance standards such as C2PA actually require? It is a beat — the AI industry, its regulators and its harms are among the biggest running stories in the UK. And it is a verification problem — synthetic images, audio and video now land in newsroom inboxes and have to be caught before they are amplified.

What none of this changes is where responsibility sits. The accuracy obligations in the UK codes apply to everything you publish, however it was produced; a hallucinated statistic is a breach whether a person or a model invented it. The guides in this hub treat AI the way UK journalism has always treated new tools: use it where it helps, check its output like you would check a stranger’s tip, and be straight with readers about how the work was made.

Jump to: Understanding AI in the newsroomDisclosure, ethics and standardsReporting on AI — and verifying itTools and templates

Four principles that run through every guide

Whatever the tool and whatever the story, the same fundamentals keep you on the right side of the codes — and of your readers.

Accuracy first

The accuracy standards in the UK codes apply to everything you publish, however it was produced. AI output is a draft to be checked, never a finished fact.

Ethics of AI-generated content

Disclose meaningful use

Readers should not have to guess whether a machine wrote, translated or illustrated what they are reading. Disclose AI use where it materially shaped the journalism.

AI disclosure standards

Keep a human in charge

Editorial responsibility cannot be delegated to a model. A named journalist or editor signs off what is published and answers for it — a newsroom AI policy makes that explicit.

Newsroom AI policy template

Verify before you publish

AI both invents material and fakes it convincingly. Verify AI-assisted output against primary sources, and treat unverified images, audio and video as suspect by default.

Forensic verification guide

Understanding AI in the newsroom

The big picture: what AI is doing to UK journalism, and how to work with it in practice.

Disclosure, ethics and standards

When and how to use AI honestly — and what the UK codes actually require.

Reporting on AI — and verifying it

AI is also a beat: covering the industry, probing its systems for bias, and detecting synthetic media.

Tools and templates

Practical resources you can use today — all free, all client-side.

Not sure where to start?

Pick the entry point that matches what you are trying to do today.

New to the subject

Start with the overview of how AI is changing UK newsrooms.

AI in UK journalism

Writing a newsroom AI policy

Copy-and-paste policy, disclosure notes and labels.

AI-use disclosure pack

Covering AI as a story

The technology and AI beat: regulators, harms, data sources.

Technology & AI beat guide

Checking a suspect image

Forensic techniques for spotting synthetic media.

Deepfake forensics guide

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