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news· 3 min read· via The Guardian AI

AI Bots Flooded 2023 UK Public Health Consultation on Vape Ban, Study Finds

Research reveals 76% of responses to a 2023 UK consultation on disposable vapes were machine-generated by AI bots in a failed attempt to derail health policy.

AI Bots Flooded 2023 UK Public Health Consultation on Vape Ban, Study Finds

A coordinated network of AI bots flooded a 2023 UK government public consultation with tens of thousands of synthetic responses in an unsuccessful effort to derail a proposed ban on disposable vapes. According to research published in the journal Tobacco Control by Dr Nason Maani of the University of Edinburgh and Prof Anna Gilmore of the University of Bath, three-quarters of all submissions received during the inquiry were machine-generated. This incident represents what researchers believe to be the first documented case of large-scale automated interference targeting a formal public health policy consultation in the UK.

The Department of Health and Social Care (DHSC) uncovered the manipulation using bot-detection controls. Out of 118,756 total submissions to the tobacco and vapes bill consultation, 90,835—or 76%—were flagged as automated entries.

How the automated campaign unfolded

The automated campaign specifically targeted the "smoke free generation" proposal put forward by Rishi Sunak's Conservative government. All but two of the 90,835 flagged bot submissions responded to the exact same question, expressing opposition to the government's plan to outlaw disposable vapes. The DHSC reported that the submissions were repeatedly duplicated and submitted at high frequencies originating from a small cluster of IP addresses.

Despite the massive volume of automated spam, the government's screening mechanisms successfully identified the interference, allowing officials to eliminate all 90,835 fake responses from their decision-making process. Keir Starmer's Labour government inherited the tobacco and vapes legislation in 2024 and subsequently passed it into law, establishing a ban on businesses selling or supplying disposable vapes.

A DHSC spokesperson stated that the department maintains robust controls to prevent the manipulation of public consultations, noting that those measures worked effectively in this instance. The spokesperson added that the department will remain vigilant regarding similar interference in future processes.

Growing concerns over synthetic public input

Public health advocates and policy experts have raised concerns about the implications of AI-driven lobbying campaigns. Dr Nason Maani warned that while this particular campaign was identified, future attempts may prove far more sophisticated. He noted that such campaigns pose a serious threat because they create the illusion that a handful of powerful commercial interests represent a genuine mass movement, adding that undetected campaigns remain an unknown risk.

Caroline Cerny, deputy chief executive of Action on Smoking and Health, called the evidence deeply concerning, citing the tobacco industry's history of attempting to undermine health regulations. She emphasized that public health decisions must be grounded in sound evidence and expertise rather than manipulated response figures.

Similarly, Azzurra Moores, associate director for information ecosystems at thinktank Demos, described the findings as alarming. She pointed out that public consultations serve as a primary mechanism for transparent government decision-making, and interference risks undermining public trust. Moores observed that there is no simple resolution, as every technical barrier designed to exclude bots also risks increasing friction for genuine citizens taking part. She added that AI enables fake responses to become harder to spot, with interference methods adapting faster than departments can update their screening checks.

What it means for developers

This incident highlights the growing necessity for software developers to build advanced verification and filtering infrastructure into platforms that accept user submissions. As generative tools make automated text generation accessible at scale, traditional anti-spam techniques like simple IP tracking or static content matching are becoming insufficient. Developers building public feedback portals, survey engines, or comment systems must deploy multi-layered defensive controls, combining behavioral analysis, rate limiting, and sophisticated screening techniques to separate human input from synthetic noise.

For engineers working on filtering solutions, analyzing and benchmarking how different AI models generate text is a key part of training robust detection algorithms. Through services like https://apixoai.online, developers can try top AI models cheaply through one API to test synthetic output patterns, evaluate detector performance, and build more resilient anti-bot workflows. As AI capabilities evolve, engineering teams will need to continuously update their verification architectures to stay ahead of automated manipulation tactics without compromising user experience for real citizens.


Source: AI bots flooded 2023 UK government consultation on disposable vapes ban — The Guardian AI. Written by the Apixo team from that report.

#ai-news#ai#cybersecurity#ukpolitics#botdetection
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