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of 223 studies found AI fraud detectors are built for single scam types among 16 studied, generalize poorly, weaken on outdated training data, and report results inconsistently.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 2 of 2
On June 13 2025, Crime Science published a systematic literature review of AI and NLP for online fraud detection. The authors screened 2457 records and analyzed 223 studies, mapping data sources, algorithms, and evaluation metrics across 16 fraud types and summarizing best-performing methods for detecting scams in…
Crime Science
UK Finance reported almost 15,000 investment scams in 2025, with about £221.5m lost after people were persuaded to move money to fake investments or fictitious funds, a 40% rise on the prior year.
Published August 25, 2025, this peer-reviewed review synthesized current machine learning methods for healthcare fraud detection, covering supervised, unsupervised, deep learning, and hybrid approaches like SMOTE-ENN,…
On 2025-11-05, Applied Sciences published a comprehensive review of machine learning for financial fraud detection. The authors surveyed supervised, unsupervised and hybrid approaches across credit card, financial…
A January 2026 peer-reviewed article in Journal of Banking Regulation examines AI-driven financial fraud, noting AI is integral to bank operations while also being used by fraudsters to inflict significant damage on…
Published September 3, 2024, this peer-reviewed literature review applied PRISMA and Kitchenham methods to 104 articles from 2012-2023 obtained from Scopus, IEEE Xplore, Taylor & Francis, SAGE, and…
As of its March 5 2026 publication, this narrative literature review surveyed how neural network architectures are used for real-time financial fraud detection, covering MLPs, LSTMs, CNNs,…
By June 2026, researchers tested how telecom transmission affects human detection of cloned speech. They created natural and ElevenLabs-synthesized utterances from nine speakers, processed them…
By June 2026, researchers had tested whether people can tell real from synthetic faces and voices and whether that skill transfers across senses.
Cifas, the UK's fraud prevention organisation, reported 444,000 fraud cases from its members last year, a 6% rise on 2024 and a record for its national fraud database.
David Duggan subscribed to the Claude chatbot for $20 a month to answer medical questions and organise family life. His wife later noticed two $200 charges on his credit card bill for gift cards to…
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