NEWS EXTRA


generators utilise adequate digital watermarking.


• Only 18% follow standardised protocols for deepfake labelling.


Worse still, even when these invisible


digital watermarks or metadata tags are present, they can easily be stripped away by taking a simple screenshot of the image or running it through a basic file-conversion tool before emailing it to the bakery. To make matters worse for food


manufacturers, the legal framework offers no protection. UK legislation is ill-equipped to address the commercial realities of synthetic image fraud. While robust laws are being introduced to govern the intentional generation of sexually explicit deepfakes, there is currently no specific statutory framework in the UK that criminalises or penalises the creation of AI-generated images used for consumer refund fraud. “In the UK, there is currently nothing that


hygiene re-rating, with the average cost totalling £219.95. Combined with the lost administrative hours spent defending the claim, a single fake complaint can easily cost a business thousands of pounds. Historically, tech-savvy operators could


rely on obvious digital anomalies to identify AI images: irregular lighting, unnatural textures, blurred background details, or distorted human anatomy (such as the infamous “six- fingered hands”). However, the underlying technology is moving at a breakneck pace. “At the moment, email and written


complaints are relatively easy to identify as AI language is currently fairly easy to distinguish,” states Alasdair Dean. “However, this is likely to change over time. Images are harder to spot, as 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.” Compounding the issue is the fact that


current digital safety standards are entirely inadequate. Research published by arXiv reveals a worrying lack of accountability among software developers: • Only 38% of commercial AI image


governs the generation of images outside the intentional generation of sexually explicit images,” explains Annabel Kyle. “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.” Faced with an evolving threat, an inadequate legal framework, and automated refund systems, how can commercial bakeries and confectioners defend themselves? Food Alert advises that protection requires a multi-layered approach combining modern technology, rigorous documentation, and clear staff training.


1. Robust Digital Due Diligence The ultimate shield against a fraudulent complaint is an unassailable internal record. Bakeries must maintain bulletproof, timestamped, and digitally logged due diligence records. If an automated system tracks and logs oven temperatures, batch cooling times, metal detector calibrations, and QA checks in real time, the business has hard data to refute an AI claim immediately. If a consumer sends an email claiming a loaf bought on Tuesday was completely rotten with mould, but the internal digital logs show the batch was baked, packed, and shipped in a controlled-atmosphere environment on Monday night, the claim falls apart.


2. Establish a Formal “Double-Verification” Protocol Food Alert stresses that bakeries must never stop treating consumer complaints seriously. Overreacting and dismissing every unusual email as “AI fraud” carries the risk of overlooking a genuine food safety failure or an actual physical outbreak


of mould or contamination. Instead, implement a formal protocol in which any complaint that contains severe visual evidence or legal language must be escalated directly to the technical or QA director. Staff should be trained to look for core discrepancies: Does the metadata of the submitted image match the time and date of the alleged purchase? Does the specific product packaging, labelling, or crumb structure shown in the photograph perfectly match the actual internal specifications of that specific production run?


3. Challenge Third-Party Platforms Aggressively Bakery businesses must proactively review their terms of service with third- party delivery platforms. Operators should actively challenge automated chargebacks and demand that platforms provide a formal mechanism to dispute suspicious photographic evidence. By presenting platform aggregators with comprehensive HACCP compliance documentation and demonstrating a willingness to challenge fraudulent claims, bakeries can shift the financial burden back onto the platform’s insurance or fraud departments.


4. Implement Physical Product Safeguards For premium, high-value confectionery and bakery items, consider utilising physical anti- fraud measures. This can include tamper- evident labelling, specialised batch-specific stickers, or unique visual branding elements integrated directly onto or into the packaging. If an AI image generator creates a generic image of a mouldy cake but fails to replicate the highly specific, branded greaseproof paper or custom-embossed box used by your bakery, the fraud is instantly exposed. Artificial intelligence is undoubtedly


transforming food manufacturing for the better, driving efficiency in everything from ingredient sorting to predictive maintenance on industrial ovens. But as technology democratises, bakeries must accept that the digital tools optimising their supply chains are the very same tools that unscrupulous actors are weaponising against them. By upgrading from paper-based quality


checks to robust, cloud-based safety compliance software, maintaining a healthy degree of professional scepticism, and refusing to be intimidated by automated legal jargon, British bakeries and confectioners can successfully protect their revenue, their regulatory ratings, and the authentic craftsmanship of their products.


JUNE 2026 • KENNEDY’S CONFECTION • 15


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