Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
44 incidents closest to “Document Fraud Detection” · matched on meaning · public reporting
The AI-generated deepfake video falsely endorsed an investment opportunity, leading a victim to invest and lose £250,000.
1 source article · read the reporting →
A gang in Maslak, Istanbul, set up a call centre using AI-supported software to impersonate police, prosecutors, soldiers, and bank officials. They defrauded many Czech and European citizens, obtaining high amounts of money, which they laundered through bank accounts and crypto platforms. Turkish authorities, in cooperation with Czech judicial authorities, conducted simultaneous raids on three addresses, seizing digital materials and detaining 80 foreign suspects.
1 source article · read the reporting →
Crime rings are deploying AI chatbots as 'ghost students' to enrol in online college courses and fraudulently collect US federal financial aid. Victims of identity theft, such as Heather Brady and Brittnee Nelson, discovered loans of over $9,000 and $5,000 respectively taken out in their names for colleges they never attended. The US Education Department introduced a temporary rule requiring government-issued ID for first-time aid applicants, while California community colleges reported losing at least $11.1 million to such scams.
4 source articles · read the reporting →
A fraud analyst, Leon, was targeted by scammers who used AI to create convincing fake websites for non-existent investment firms. The scammers posed as employees of Assent Advisory and directed him to elaborate sites for APPC Capital Singapore and Thackeray Mines and Minerals Inc., complete with AI-generated images and fake details. Leon recognised the scam, but the sophistication of the AI-generated content made him second-guess his own judgment. The incident highlights how AI is enabling more convincing investment scams.
1 source article · read the reporting →
Scammer used deepfake video to impersonate a celebrity and convince a victim to send money for fabricated fees.
1 source article · read the reporting →
A deepfake video impersonating a prominent Toronto immigration lawyer is being used to scam Canadian immigrants out of thousands of dollars. The video deceives victims into sending money by appearing to be a genuine message from the lawyer. The lawyer is warning the public about the dangers of deepfake technology. No arrests have been reported.
1 source article · read the reporting →
Fraudsters used deepfake videos of DNB's CEO and CFO in a live Teams meeting to instruct employees at the bank's Singapore office to transfer millions of Singapore dollars. The attempt was detected after a suspicious WhatsApp message was reported to security. DNB allowed the meeting to proceed to gather intelligence, and no money was lost. The bank publicly disclosed the incident to raise awareness about deepfake threats.
1 source article · read the reporting →
In June 2025, a series of AI-generated deepfake videos circulated on Facebook in Lithuania, impersonating journalists, politicians, and doctors to promote fraudulent health products. The videos, part of a wider European scam campaign, tricked viewers into losing money. The National Crisis Management Centre called it a 'new level of fraud', and the videos were later removed. Facebook promised to strengthen content review but has not yet delivered results.
2 source articles · read the reporting →
A title company owner in Hallandale Beach, Florida, detected an attempted property fraud using a deepfake video. The scammer posed as the owner of a vacant lot, providing a fake driver's licence and a looped video during a video call. The title company owner noticed the video was not interactive and halted the sale. The true owner's property tax bills had been sent to the Bahamas, and the scammer used a photo of a missing woman from California.
4 source articles · read the reporting →
In June 2024, a scam group posing as FTX debt claimants allegedly used AI-generated identities and manipulated facial appearances to defraud two companies of more than $5.6 million. The perpetrators accessed FTX customer data through public bankruptcy filings or a 2023 data breach at Kroll. Blockchain analysis traced the stolen funds through Binance, CoinEx, and Gate.io. The incident remains unresolved.
6 source articles · read the reporting →
The city of Rotterdam deployed a machine learning algorithm built by Accenture to flag welfare recipients for fraud investigation. The system used personal data including gender, language, and subjective caseworker notes to generate risk scores, leading to investigations that disproportionately targeted women and migrants. An external review found the algorithm discriminatory and inaccurate, prompting the city to suspend its use in 2021. The system's opacity made it nearly impossible for those flagged to challenge the decisions.
6 source articles · read the reporting →
The Home Office is using a secret algorithm to sort visa applicants into fast, slow, or full-check streams. The algorithm allegedly uses biased criteria like nationality, disadvantaging people of colour. Foxglove and the Joint Council for the Welfare of Immigrants have initiated legal action, serving a pre-action letter and seeking judicial review. The Home Office has not disclosed details, citing the Immigration Exemption to the Freedom of Information Act.
8 source articles · read the reporting →
Michigan's Unemployment Insurance Agency (UIA) deployed the Michigan Integrated Data Automated System (MiDAS) to automate fraud detection. The system algorithmically adjudicated over 40,000 fraud cases between October 2013 and September 2015, with 85 percent of those resulting in incorrect fraud determinations. The false accusations led to severe financial penalties, ruined credit, and homelessness for many victims. A class-action lawsuit was filed, and while the state has apologised and returned fines, it has fought against compensation claims, though legislators have promised to seek at least $30 million for those affected.
10 source articles · read the reporting →
Scammers are using AI-manipulated videos of Namibia's former First Lady Monica Geingos to convince members of the public to invest in fraudulent Forex schemes. Geingos warned that she is not soliciting money or loans on social media and urged people to report fake accounts. The incident highlights the rising threat of deepfake fraud, with South Africa experiencing a 1200% increase in such cases. No specific loss has been reported, but the potential for financial harm is significant.
2 source articles · read the reporting →
Mediaset journalist Safiria Leccese's image and a frame from her programme were stolen to create a fake profile promoting easy personal loans. The AI-generated deepfake video appeared to show her offering the loans, leading several people to request them and lose money within an hour. Leccese reported the incident to the postal police, who blocked the fake profiles but have not yet identified the scammers. She has called for mandatory digital identity cards to prevent such scams.
2 source articles · read the reporting →
Four men were arrested in Ahmedabad for allegedly using AI-generated deepfake videos to bypass Aadhaar's facial authentication system. They changed a victim's registered mobile number, accessed his DigiLocker, and applied for loans in his name. The accused, including Common Service Centre operators, used unauthorised Aadhaar update kits. Police are investigating whether more victims were targeted.
1 source article · read the reporting →
The South African Department of Communication and Digital Technology and Department of Home Affairs suspended four officials after discovering that AI-generated fictitious references were used in policy documents. The Draft National Artificial Intelligence Policy was withdrawn from public consultation, and the Revised White Paper on Citizenship, Immigration, and Refugees was also affected. The departments are investigating and have appointed independent law firms to review all policy documents since November 2022. The ministers have pledged to implement AI verification checks in future policy approval processes.
3 source articles · read the reporting →
A Washington Post test of Turnitin's new AI writing detector found it erroneously flagged 8% of a high school student's original essay as likely generated by ChatGPT. The student, Lucy Goetz, had not used AI, raising concerns about false accusations of cheating. Turnitin acknowledged the issue and added a caution flag, but educators worry about the potential for baseless academic-integrity investigations. The incident highlights the challenges of detecting AI-generated text and the need for careful human review.
1 source article · read the reporting →
The Home Office uses an algorithm to triage marriage visa applications, flagging couples as 'red light' or 'green light' based on undisclosed criteria. The system reportedly flags 20-25% of couples where one partner is from certain countries like Bulgaria, Greece, Romania, or Albania, and considers age gaps. Critics warn this could lead to indirect discrimination by nationality and age, potentially causing genuine couples to be investigated and deported. The Home Office defended the system, stating its equality impact assessment is designed to detect bias.
4 source articles · read the reporting →
Fraudsters used forged emails and deepfake audio to impersonate a company director, convincing a branch manager at a UAE company to transfer $35 million as part of a fake acquisition. The manager believed he was following instructions from the director and a US-based lawyer. The incident, which occurred in January 2020, led to a US federal court request for assistance in tracing the stolen funds. The case highlights the growing threat of deepfake technology in corporate fraud.
6 source articles · read the reporting →
In Yozgat, Turkey, a criminal gang produced AI-generated deepfake videos to impersonate trusted figures and defraud 33 people of approximately 15 million Turkish lira. Police conducted simultaneous raids across four provinces, arresting nine suspects; six were jailed and three released on judicial control. The incident highlights the growing use of deepfakes in investment and romance scams.
1 source article · read the reporting →
The U.S. Department of Homeland Security operates a secret algorithm called ATLAS that screens naturalized citizens for potential fraud or national security concerns, flagging them for denaturalization. The system, hosted on Amazon Web Services, analyzes biometric and other data from various federal databases, and its rules are undisclosed. Human reviewers then decide whether to refer flagged individuals to Immigration and Customs Enforcement for possible deportation. Critics allege the algorithm relies on inaccurate data and lacks transparency, leading to wrongful denaturalization proceedings.
2 source articles · read the reporting →
Montenegrin police say AI is fuelling a rise in identity abuse by online fraudsters, using deepfake videos of public figures to promote bogus remedies and investment schemes. Surgeon and MP Vladimir Dobricanin found a manipulated video of himself apparently endorsing eyedrops and other products, while Bosnian fact-checkers reported similar misuse of statements to lure people into cryptocurrency scams. Victims reported 42 online scams in 2025 with financial losses of around 300,000 euros, but authorities say investigations are complex and often lengthy due to the use of servers abroad and encryption. Experts called for stronger technical capacities, international cooperation, and faster platform responses to tackle the problem.
1 source article · read the reporting →
US companies report a surge in fake job seekers using generative AI tools to fabricate identities, employment histories, and conduct deepfake video interviews for remote positions. Cybersecurity firms Pindrop and CAT Labs, along with BrightHire, describe incidents where scammers, including North Korean operatives, attempted to gain employment to install malware, demand ransoms, steal data, or collect salaries fraudulently. One candidate, 'Ivan X', was detected by Pindrop's video authentication tool after a recruiter noticed his facial expressions were out of sync with his words.
1 source article · read the reporting →
