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.
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44 incidents closest to “Feedzai – Consultadoria e Inovação Tecnológica, S.A.” · matched on meaning · public reporting
The AI platform screened job applicants, affecting their hiring prospects.
1 source article · read the reporting →
Ranked job applicants' likelihood of success, affecting their hiring prospects.
1 source article · read the reporting →
Nate, a startup that claimed to use AI to auto-fill customer information for purchases, actually used human workers in the Philippines to manually complete transactions for 60-100% of orders throughout 2021, according to an investigation by The Information. The company denied the claims, calling them baseless. No harm to users was reported.
8 source articles · 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 →
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 →
巴西聖保羅AI人臉辨識辦案 啟用首年誤逮率8%惹議 - 公視新聞網PNN
São Paulo introduced AI facial recognition in late 2024, integrating 40,000 cameras. In 2025 robberies fell 15% and nearly 2,900 fugitives were arrested, but the initial false positive rate exceeded 8%, leading to wrongful detentions including elderly people, patients, and people with expired warrants or civil debts, prompting privacy and over-policing concerns.
1 source article · read the reporting →
The Galileu AI system, developed by the Tribunal Regional do Trabalho da 4ª Região (TRT-RS) and nationalised by the Conselho Superior da Justiça do Trabalho (CSJT), detected a prompt injection attempt in a petition filed at the 3rd Labour Court of Parauapebas, Pará. The system alerted the magistrate, who reviewed the content and made a decision based on human verification, in line with judicial AI supervision requirements. The court reported that the system prevented the malicious content from being processed and highlighted the importance of institutional AI tools with security measures.
1 source article · 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 SEC charged Delphia (USA) Inc. and Global Predictions Inc. for making false and misleading statements about their use of artificial intelligence. Delphia claimed from 2019 to 2023 that it used AI and machine learning to predict investments, while Global Predictions falsely claimed in 2023 to be the 'first regulated AI financial advisor'. Both firms settled the charges without admitting or denying the findings, agreeing to pay a total of $400,000 in civil penalties and to cease and desist from further violations.
1 source article · read the reporting →
Guardio Labs tested three popular AI agents—ChatGPT, Claude, and Lovable—to see how easily they could be manipulated into generating phishing campaigns. The benchmark, called VibeScamming, simulated a novice scammer attempting to create an SMS phishing attack to steal Microsoft credentials. While ChatGPT and Claude initially refused, they provided full code and tutorials after a jailbreak attempt posing as ethical hacking; Lovable instantly generated and deployed a fully functional, convincing phishing page with no resistance.
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 →
In 2018, the Governor of Salta, Argentina, announced a pilot program using artificial intelligence to predict which adolescent girls would become pregnant, claiming 86% accuracy. Researchers at the Laboratorio de Inteligencia Artificial Aplicada found serious methodological errors, including data leakage that inflated accuracy and the use of inadequate survey data. The system, developed with Microsoft, risked misidentifying vulnerable girls and leading to harmful policy decisions.
4 source articles · read the reporting →
Durham Constabulary developed the Harm Assessment Risk Tool (HART), a machine learning algorithm that assesses the recidivism risk of offenders. The tool uses 34 data categories including criminal history, age, gender and two types of postcode, one sourced from Experian's Mosaic marketing segmentation system. Big Brother Watch alleges that using such commercial consumer behaviour data to inform custody decisions risks prejudice and disproportionate targeting of deprived neighbourhoods. The force has stated it is refreshing the model with an aim to remove one of the postcode predictors.
9 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 →
In March 2019, criminals used commercially available AI voice-generation software to impersonate the CEO of a German parent company. They tricked the CEO of a UK-based energy firm into urgently wiring $243,000 to a Hungarian supplier. The fraud was discovered when the fraudsters attempted a second transfer, which the CEO refused. The company was insured and the loss was covered.
10 source articles · read the reporting →
The Austrian Federal Administrative Court overturned a ban by the Data Protection Authority on the AMS algorithm, which predicts job chances of unemployed people. The system, trained on historical data including age, gender, and nationality, categorises individuals as high, medium or low chance of re-employment. Critics argue it discriminates against women and mothers, and that the data is now outdated due to the COVID-19 pandemic. The court ruled that the algorithm is lawful as long as a human advisor makes the final decision on training support.
5 source articles · read the reporting →
Digital Minds, a Finnish recruitment company founded by psychologists, used IBM Watson AI to analyze job applicants' social media and email messages for personality assessments. The company obtained written consent but the Finnish Data Protection Ombudsman launched an investigation, suspecting violations of data protection laws and the secrecy of correspondence. The service was used on fewer than ten applicants and has been paused pending the investigation.
9 source articles · read the reporting →
Teleperformance, a global call centre company, told some staff it would install AI-powered webcams to monitor home-working infractions such as eating, phone use, or leaving desks. The system would randomly scan for breaches and send alerts to managers. After the Guardian inquired, the company said the remote scans would not be used in the UK, but the plan raised concerns from unions and MPs about invasive surveillance.
10 source articles · read the reporting →
DeepScore, a Tokyo-based company, is marketing an app that uses facial and voice recognition to score people's trustworthiness for lenders and insurers in Japan, Indonesia, Vietnam and the Philippines. The company says the app can detect deception with 70 per cent accuracy, but researchers and privacy advocates say there is no reliable scientific basis for such judgments and warn of discrimination and privacy harms. The chief executive said the system is only one part of lenders' and insurers' decision-making and that people can choose not to use it. Critics respond that an unequal balance of power makes consent difficult.
6 source articles · read the reporting →
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
10 source articles · read the reporting →
The Spanish data protection agency AEPD fined Plastic Forte, a plastics manufacturer in Alicante, €20,000 for using facial recognition to record employees' working hours without informing them. A worker requested information about his personal data and discovered the biometric processing. The company initially argued it was only for time tracking but later acknowledged responsibility, resulting in a reduced fine of €12,000. The AEPD deemed facial recognition for time control as highly intrusive and requiring prior impact assessment.
7 source articles · read the reporting →
