Fraud & Scams
1 gain2 Traces12 problems
Every measured gain and problem on the record for this topic, newest first.Too few to weigh yet. Updated .
One square per record, darker for stronger evidence:Evidence: 0 high9 moderate6 emerging
15 records so far, too few to weigh yet. Is your study missing? Add it
AI in fraud and scams
A Trace is one record with both a gain and a problem, so it counts on both sides: 3 records show a gain and 14 show a problem. 11 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 0 |
| ModerateA measured study or an official source | 2 | 8 |
| EmergingEarly, small, unreviewed or reported second-hand | 1 | 6 |
By type of evidence: 6 news reports; 3 controlled comparisons; 2 surveys; 1 regulatory or legal action; 1 systematic review or meta-analysis; 1 commentary or narrative review; 1 set of official statistics. How evidence is scored
15 records so far, too few to weigh yet. A written summary appears once a topic has at least 20 counted records, with at least 5 on each side. Is your study missing? Add it
In a preregistered study, participants classified real versus AI-generated faces and real versus AI-generated voices at rates significantly above chance.
In a survey of 115 Jordanian Islamic bank staff, those using more AI rated money laundering and fraud detection as more effective, partly because they felt more confident using AI outputs.
In a survey of 70 people, respondents generally supported AI-based verification and favoured brands using AI tools to evaluate influencers, though this is opinion, not measured improvement.
UK fraud reports to Cifas' national database reached a record 444,000 last year, up 6% on 2024, with the body saying criminals are using AI to take over accounts.
A review of 223 studies found AI fraud detectors are built for single scam types among 16 studied, generalize poorly, weaken on outdated training data, and report results inconsistently.
In a 529-person experiment, listeners correctly identified speech deepfakes only 73% of the time in both English and Mandarin, and example deepfakes improved results only slightly.
26 records · page 1 of 2
Jacob Soall, Sharon Hazan and Guy Sheetrit have been charged in the Southern District of New York with using AI to impersonate corporate executives and attorneys, according to an indictment unsealed by the US Department of Justice.
The Guardian
The study analyzed 2200 journal articles indexed in Scopus and Web of Science from 1992 to 2026. It found that most of the work appeared after 2018, with an annual growth rate of 29.4%, and that…
A novelist describes receiving near-daily, highly personalised fan emails that turn out to be fake and ask for a few hundred dollars to promote his books. Some impersonate famous authors such as Ottessa Moshfegh.
A joint report from the International Monetary Fund and the World Bank, dated 2026, examines online financial fraud. It says the fast spread of digital banking, instant payments and online financial services has produced…
Researchers played a mix of genuine and machine-generated speech to 529 participants and asked them to pick out the fakes. The test ran in English and Mandarin to see whether language changed detection accuracy or the…
Researchers surveyed 115 employees in compliance, Shariah supervision, internal audit, auditing, and risk management roles at Jordanian Islamic banks.
A descriptive study collected questionnaire responses from 70 people about AI systems that flag manipulated follower counts, artificial engagement and doubtful influencer authenticity.
At the IMF annual meetings in Bangkok in October 2026, Kristalina Georgieva used a hack of French supermarket fridge controls to illustrate the rising cost of cyber-attacks.
A dentist in Tarlac handed over P93 million across about a year after seeing a deepfake video in which President Ferdinand Marcos Jr. appeared to endorse an investment.
State Bank of India warned the public about AI voice-cloning scams in a post on X on 16 October 2026, as part of its National Cyber Security Month Special Campaign 6.0.
A 69-year-old senior citizen in Mumbai was allegedly cheated of Rs 50 lakh in a scam that used an AI-cloned voice. The victim's son, who is from Nagpur, filed the police complaint with cybercrime…
Michael Smith of North Carolina was sentenced to 18 months in prison for music streaming fraud that relied on AI-generated songs.
A person in the Ards and north Down area of Northern Ireland has lost £250,000 to an investment scam that began with what appeared to be an AI-generated video of a well-known personality from the…
By 16 August 2026, Australia's corporate watchdog ASIC warned of a steep rise in investment scams using AI-generated deepfakes, most commonly of Prime Minister Anthony Albanese.
On August 13, 2026, Hindustan Times reported that a 16-year-old in Uttar Pradesh used an AI-generated image to stage his own kidnapping.
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