The UK Health Security Agency (UKHSA) is investigating how Artificial Intelligence (AI) could assist in detecting and analysing foodborne illness outbreaks.

UKHSA experts recently conducted a study assessing different AI models to determine their ability to analyse online restaurant reviews and identify signs of foodborne gastrointestinal illnesses. The goal is to explore whether AI could eventually help detect and, if necessary, investigate outbreaks.

How effective was the study?

The study revealed several challenges that currently limit the reliability and effectiveness of using AI for this purpose. These barriers would need to be overcome before AI could be used as a dependable tool in tackling foodborne illness outbreaks. Key challenges include:

  • Difficulties in accessing real-time data.

  • Identifying the specific ingredient or factor responsible for the illness.

  • Variations in spelling and the use of slang in online reviews.

  • Consumers incorrectly attributing their illness to the wrong meal.

Unsurprisingly, Professor Steven Riley, Chief Data Officer at UKHSA, stated:
“Further work is needed before we adopt these methods into our routine approach to tackling foodborne illness outbreaks.”

While this use of AI is still in development, it highlights the growing focus on AI-driven innovation. Many business owners are now considering how AI could be harnessed to benefit their own operations.

Read more: UK Government Report