Left to right: Ramaa Sharma, Xiaoxuan Liu, Denis Newman-Griffis, Leoni Robertson, Paul Bradshaw

In a nutshell:

The full story:

Data journalists tend to run into one of three issues when trying to find good data for a story.

One, the data does not exist. Two, the data is biased. Three, what data exists fails to capture human experiences.

But the bigger question, as explored at a BBC Fusion online stream today (19 February) is whether AI - with its questionable reliability - could actually help journalists overcome these challenges.

In the case of disability data, Denis Newman-Griffis, data scientist and senior lecturer at the University of Sheffield, says there are too many nuances around how people identify with their experiences to get the whole picture.

In the case of health data, Xiaoxuan Liu, associate professor in AI and digital health at the University of Birmingham, says that there are many cases where patients have not consented to give their data or had the opportunity to provide or correct data. It is not uncommon to........

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