Artificial Intelligence In Broadcasting

What might happen if algorithms and machine learning were to search out content from the BBC archive for BBC Four audiences?

Our teams in BBC Research & Development are always looking at how technology could impact the BBC and the wider industry in the coming years. In fact, it’s baked into the BBC Charter to look at the opportunities and challenges this may bring – to be prepared for it – and to share learnings with others.

One such trend is the emergence of Artificial Intelligence (AI) and Machine Learning (MI). Towards the end of last year, Matthew Postgate, Chief Technology and Product Officer for the BBC outlined in a speech to the industry the role the BBC should play in this debate – bringing partners together, showing the way and ensuring the public service principles are at the heart of any developments. We were fascinated by the discussion.

Last night, at an RTS event in London, we shared initial plans for our next experiment.

Later this year, BBC R&D and BBC Four will work together to conduct an experiment using AI and MI. The purpose is to explore what might happen if algorithms and machine learning are used to search out BBC content from the archive that would connect with and be relevant to a BBC Four audience. This content would be highlighted to the BBC Four scheduling team, and used to schedule an evening’s worth of output.

We want to use this to learn whether technology can help us uncover hidden treasures across genres and programming that that we think BBC Four audiences might love. It will also help us look at the limitations and challenges around using this technology to support and enhance the BBC’s world-renowned skills in content curation and delivery. And let’s just be clear – this will not replace our schedulers. Far from it. Humans have nuance, taste and judgement – the qualities of which no algorithm or machine can replace. This is all about looking at whether technology can help them even further.

This trial, along with otherexperimentsacross BBC R&D will help shape our thoughts on the potential uses and limitations of AI and MI in the future.

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