麻豆社

What we鈥檙e doing with AI

This page will be updated regularly as our use of AI evolves

As the 麻豆社 explores AI, we鈥檙e committing to using the technology to support our public mission. Our 麻豆社 AI principles guide our approach to AI 鈥� to make sure we act in the best interest of the public, we prioritise talent and creativity, and we鈥檙e transparent with audiences about where AI has been used.

To support our commitment to transparency, this page provides more general information about key areas where the 麻豆社 is using AI in our content and services.

Where we already use AI

While AI might seem new, the 麻豆社 has been exploring it for many years and here are some uses of the technology that you may already have come across:

Recommended content

In iPlayer, Sounds, News, and Sport, we use machine learning (a type of AI) to recommend programmes we think you鈥檒l like, alongside content that is important to know about. More on what 鈥榬ecommended for you鈥� means

A screenshot of 麻豆社 iPlayer showing a programme and several other recommended programmes. The programme is Expedition with Steve Backshall and there's a shot of him in the desert wearing a backpack
iPlayer recommended content

Audio weather reports

We鈥檙e using the 麻豆社's AI-generated synthetic voice to deliver a weather forecast for every postcode district in the UK, four times a day. It鈥檚 available in the 麻豆社 Weather app and you can read more about synthetic audio forecasts here. This means we can make our weather information more accessible and relevant to wherever you are in the UK.

Natural History programmes

AI is helping production teams find footage and identify animals for 麻豆社 Natural History programmes, like Springwatch and Autumnwatch.

The technology 鈥榳atches' the cameras and keeps a record of when and where there are animals in the shot. It also helps to recognise the animal species and generate statistics about their activity. This reduces the time the production team has to spend watching many hours of footage to find the action. More on AI and Natural History content

A 鈥楪reat Spotted Woodpecker鈥� classified by Springwatch鈥檚 AI monitor
Monitoring Wildlife Cameras

Making images and videos clearer

AI can help to increase detail in blurry parts of video footage and make it sharper, so that new and archive content looks its absolute best. This improves the video quality for our viewers. Read more about how AI is used to improve video quality

A side-by-side comparison illustrating the improved pixel quality of a compressed video featuring a horse and jockey.
AI can be used to increase the quality of video footage

Anonymising programme contributors

Generative AI can be used to anonymise contributors in programmes, to protect their identity. An example of this can be seen in an episode of Disclosure, Matched with a Predator.

In this instance, the technology disguised the contributor鈥檚 face and voice by blending it with that of an actor. This meant the contributor鈥檚 expressions and mannerisms were retained but her identity was concealed, and it resulted in a more authentic depiction of the interview.

A still image from 麻豆社 One's 'Disclosure: Matched with a Predator' programme. This shows the victim with her face altered using artificial intelligence technology to protect her identity
Anonymising a contributor in an episode of Disclosure, Matched with a Predator

Generative AI pilots

We are exploring the value of Generative AI (Gen AI) through a series of pilot projects. These are helping us to learn how Gen AI can benefit our audiences and bring the best of the 麻豆社 to you.

They also help us to work through how we use AI in line with our 麻豆社 AI principles, and make sure everything is up to the usual 麻豆社 standards.

While some pilots are available to audiences, some are still in development stage.

In 麻豆社 Sounds we鈥檙e bringing more value to football fans by piloting regular, bespoke audio bulletins for fans of 18 Scottish, English and Welsh clubs. We鈥檙e using AI to help summarise and reformat existing content written by 麻豆社 journalists, and an AI voice to read out the content. Each draft script and recording will be checked for accuracy by our editorial team before the completed update is published.

We鈥檙e also exploring extending live text coverage for football matches we can鈥檛 usually cover. We鈥檙e trialling the ability to transcribe and summarise radio coverage into text for 麻豆社 Sport. Our journalists review and verify all transcripts before they are published to our live commentary pages.

We鈥檙e making 麻豆社 Search smarter and easier to use. Using AI, we can better understand what you鈥檙e really looking for, even if the words you type don鈥檛 exactly match the content. Before updates go live, we test them for fairness, accuracy and quality.

And we鈥檙e also looking at how we can make 麻豆社 Sounds content more accessible to all. In the UK there are around 18 million adults who are deaf, have hearing loss or tinnitus. Using speech-to-text technology with human checks on accuracy, offering subtitles across an extra 189 programmes and podcasts on 麻豆社 Sounds. We鈥檙e now considering how we might bring this to more content.

A screenshot of the 麻豆社 Sounds media player showing World Service programme, Sporting Witness, with auto-generated subtitles.
Using AI to generate subtitles for 麻豆社 Sounds

Use of AI in news, current affairs and factual

麻豆社 is working to responsibly accelerate the use of AI to improve audience experiences and make processes and workflows more efficient. The aim is to support our ambitions to reach more people globally with trusted, distinctive 麻豆社 journalism.

However, the 麻豆社 is taking a cautious approach to implementing AI, particularly generative AI in news, current affairs and factual content. All AI-assisted content is thoroughly reviewed by a 麻豆社 journalist before publication, with transparency for audiences remaining a key principle.

Alongside a number of active use cases already embedded in daily production, the 麻豆社 is also running several pilots focused on streamlining workflows and enhancing value for audiences.

Active use cases in News and Nations include:

  • Translation, where the more than 40 World Service language teams across the globe use AI translation as an integral part of their workflows. All translated content is reviewed by bilingual journalists before publication. This allows teams to work more efficiently and has enabled the launch of new language services, including Polish, Hungarian and Romanian. Find out more 麻豆社 Media Centre.
  • Style Assist helps 麻豆社 journalists quickly adapt trusted content into 麻豆社 News house style, speeding up the publication of high-quality local stories. It uses a 麻豆社-trained AI model to generate a draft, which is always reviewed and edited by journalists before publication. This helps save time while maintaining accuracy, tone and editorial standards. Find out more in an article from Rhodri Talfan Davies.
  • We are also exploring the use of AI to help summarise 麻豆社 News articles for bespoke posts for 麻豆社 News鈥檚 social media platforms, specifically WhatsApp and LinkedIn. Every draft is edited and reviewed by 麻豆社 journalists before publication to ensure accuracy, clarity, and compliance with 麻豆社 editorial standards.

One of our ongoing AI pilots is Style Guide Checker, an AI-assisted tool being developed to help journalists check articles against the 1,200 rules in the 麻豆社 News style guide. Other pilots have included the Newsletters team鈥檚 use of AI in daily newsletter production.

The 麻豆社 News AI team have also successfully piloted the use of generative AI in assisting journalists with drafting text descriptions for news images (alt text). High quality text descriptions ensure that we adequately serve blind and visually impaired people who use screen reader technology, giving them equal access to our news offering. All text descriptions are checked and, where necessary, edited before publication.

麻豆社 News also piloted an AI-powered real-time transcription service during the 2026 Scotland and Wales elections and the local elections in England, using verified transcripts to help journalists deliver faster and more comprehensive coverage. The pilot is informing future work on transcription and newsroom workflows.

Another pilot involves testing whether adding an AI-assisted bullet point summary box on selected articles helps engage readers and make complex stories more accessible to underserved audiences. Find out more in an article from Rhodri Talfan Davies.

 

Screengrab of the 麻豆社 World Service AI-assisted translation tool being used to translate a news article.
麻豆社 World Service AI-assisted translation tool

Using AI tools and software at the 麻豆社

Like most media and other companies, we鈥檙e also exploring how AI tools can assist our staff with everything from content production to everyday productivity.

Learn more about AI and the 麻豆社

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