Food Alert warns of AI food fraud in UK hospitality

Food Alert has warned that hospitality businesses are facing a rise in AI-driven food fraud, and says it is already seeing cases in the UK.

Customers are using AI-generated images and AI-written complaint emails to seek refunds and compensation from restaurants, takeaways and other food operators. Some images appear to show mould, undercooked meat or foreign objects that were not present in the original meal.

The issue is becoming more acute as AI-generated material spreads online. Food Alert cited estimates that more than 34 million AI-generated images are now produced each day, while some complaint messages use legal language and references to regulators.

The pressure can be particularly strong for operators that rely on third-party delivery platforms. Refunds are often processed automatically by some platforms before the cost is passed on to the restaurant or takeaway involved.

That leaves food businesses dealing not only with the immediate cost of compensation, but also with the risk of reputational damage if images or allegations circulate more widely. Manufacturers and retailers may face similar risks if manipulated imagery is used to support false contamination claims.

"There have been instances where we've seen AI manipulation of images relating to foreign bodies or undercooked food complaints. We do think this is likely to increase, and we are aware that third-party aggregators reportedly receive a lot of suspicious complaints of this nature," said Alasdair Dean, AI Lead, Food Alert.

Food Alert identified two main patterns in the complaints it is handling: fabricated photographic evidence and written complaints designed to intimidate businesses. Some complainants are using AI tools to draft emails that cite legislation and threaten to report operators to enforcement authorities, government agencies or legal representatives.

Annabel Kyle, Technical Director, Food Alert, described this as a growing part of the problem.

"A bigger trend for us is the use of AI to intimidate our food business clients and us in relation to food complaints," said Kyle. "For example, if a guest disagrees with the outcome of their complaint, we will often receive an email that is clearly written with AI, quoting legislation and stating they will be reporting the matter to enforcement authorities, government agencies, legal representatives, and so on."

Inspection risk

False complaints can have wider consequences if they are escalated to local authority officers. Even when an original allegation is fabricated, it can still prompt an Environmental Health Officer inspection.

Such visits may uncover unrelated issues at the premises, exposing businesses to regulatory action or harming their food hygiene rating. In sectors where hygiene scores are closely watched by customers and delivery partners, that can have commercial implications beyond the original complaint.

"Fraudulent complaints escalated to local authority EHO departments, whether through AI-generated images or intimidatory written correspondence, can trigger inspections. Even where the original complaint is fabricated, an inspection may uncover unrelated issues, creating real regulatory exposure. Repeated complaints on record can also, over time, affect a business's food hygiene rating," said Kyle.

Food Alert linked that risk to the cost of securing a new hygiene rating after problems are addressed. Its research found that 84% of local councils across England, Wales and Northern Ireland charge businesses for a food hygiene re-rating, with the average cost at £219.95.

Harder to spot

Identifying false complaints is likely to become more difficult as AI systems improve. Written complaints can still often be recognised because the language appears formulaic or unusually polished, but image-based claims are harder to verify.

That raises questions for food businesses handling large volumes of complaints and needing to distinguish quickly between genuine safety concerns and attempts to obtain refunds through manipulated evidence. Operators must still investigate every complaint seriously, adding to the burden on compliance and customer service teams.

"At the moment, email and written complaints are relatively easy to identify as AI language is currently fairly easy to distinguish. However, this is likely to change over time. Images are harder to spot, as while there are clues to look for, they are trickier to see. Again, these will become harder and harder to identify over time, and relatively rapidly," said Dean.

Regulatory gap

Food Alert also argued that current UK law does not specifically address this type of AI-generated food complaint fraud. In its view, that leaves businesses exposed while regulation struggles to keep pace with the technology.

Kyle said the absence of clear legislation may encourage copycat behaviour by people who believe there is little risk in using AI tools to construct false claims.

"In the UK, there is currently nothing that governs the generation of images outside the intentional generation of sexually explicit images. This also means other people might see and hear of this type of fraud and the lack of legislation around it, and carry it out for themselves," said Kyle.

Food Alert said businesses should tighten complaint investigation procedures, keep detailed food safety records and work more closely with delivery platforms when challenging suspicious refund requests. It added that operators should remain alert to possible manipulation without dismissing the possibility of genuine food safety incidents.