AI Scams Are Getting Harder to Spot. Here’s What to Watch For
A polished shopping site can look convincingly local, right down to Union Jack flags in its photos. But National Trading Standards warns that criminals are
A polished shopping site can look convincingly local, right down to Union Jack flags in its photos. But National Trading Standards warns that criminals are using artificial intelligence to make scams more convincing and easier to produce.
The UK consumer-protection body has drawn up its first AI scam watchlist, outlining tactics that can cost people money: fake retailers, long-running romance fraud and messages or calls that appear to come from someone they trust.
Look beyond a professional-looking website
Some fake online shops present themselves as family-run businesses selling quality products made in the UK. Their images may show a British high street, giving the impression of a familiar local retailer.
That appearance can be manufactured quickly and cheaply. Trading standards officers warn that customers who place an order may receive nothing, or get a low-cost, mass-produced product from a country such as China instead of what the site promised.
A tidy layout is no proof that a seller is genuine. The watchlist highlights how AI can help fraudsters build new websites or copy existing ones that look professional, making a fake business harder to distinguish at a glance.
Scams can sound personal
AI can also help romance scammers keep a conversation going. Criminals may use tools that retain personal details about a target and help sustain contact over weeks or months, making the relationship seem attentive and consistent.
In another tactic, fraudsters use cloned voices or deepfake video to impersonate a family member or close friend. The supposed loved one asks for money, often claiming there is an emergency. A familiar voice or face can make a hurried request feel genuine.
National Trading Standards also warns about phishing messages that are polished, error-free and tailored to the recipient. They can arrive by email, text or social media, where a personalised message may appear more credible than a generic scam.
Pause before responding
The watchlist points to a common thread: AI can make false identities, businesses and messages look more convincing. A convincing image, fluent conversation or familiar voice does not by itself verify who is behind it.
When a retailer’s claims seem unusually reassuring, or someone close asks for urgent money, take time to check rather than acting on the message alone. The techniques on the watchlist range from cloned websites to voice impersonation — and some can be produced rapidly at low cost.
Source: bbc.co.uk
