EPIC lawsuit challenges USPS secret surveillance program using facial recognition
The United States Postal Service's law enforcement wing, the Postal Inspection Service, ran a secret surveillance program called the Internet Covert Operations Program (iCOP) that used facial recognition from Clearview AI and social media monitoring tools to infiltrate online communities and monitor protests. The Electronic Privacy Information Center (EPIC) sued the USPS for failing to conduct and publish a privacy impact assessment as required by the E-Government Act. A federal district court dismissed the lawsuit on standing grounds, ruling that EPIC did not suffer a cognizable injury from the agency's refusal to disclose information about the program.
- Company involved
- United States Postal Service
- AI system involved
- Internet Covert Operations Program (iCOP)
10 source articles · read the reporting →
Danish law enables algorithm to profile unemployed for long-term risk
The Danish parliament passed a law in April 2019 that allows an algorithm to analyse personal data of all unemployed individuals to identify those at risk of long-term unemployment. The system uses data on ethnicity, age, health, and education history to produce a risk score for social workers. Critics, including legal experts and unemployment insurance funds, argue the profiling is stigmatising, lacks transparency, and may violate GDPR. The Danish Data Protection Authority has reopened its review of the law.
- Company involved
- Danish Ministry of Employment
10 source articles · read the reporting →
FTC settles with IntelliVision over deceptive facial recognition claims
The Federal Trade Commission (FTC) took action against IntelliVision Technologies Corp. for making false, misleading, or unsubstantiated claims about its AI-powered facial recognition software. The company allegedly claimed its software had one of the highest accuracy rates on the market and was free of gender or racial bias, without supporting evidence. The FTC also alleged that IntelliVision did not train its software on millions of faces as claimed, but on images of approximately 100,000 individuals. Under a proposed consent order, IntelliVision is prohibited from making such misrepresentations without competent and reliable testing.
- Company involved
- IntelliVision Technologies Corp.
- AI system involved
- IntelliVision facial recognition software
9 source articles · read the reporting →
Face recognition bypass used to register shell companies for tax fraud in Shanghai
In a major tax fraud case in Shanghai, criminals used face recognition cracking techniques to register shell companies on government platforms. They purchased high-resolution photos and used apps to create fake videos, then used modified phones to bypass face recognition authentication. The scheme resulted in fraudulent invoices totaling over 500 million yuan. The case was prosecuted by the Shanghai procuratorate.
7 source articles · read the reporting →
Deep-Live-Cam enables real-time face swapping, raising fraud concerns
A software package called Deep-Live-Cam has gone viral for enabling real-time face swapping on webcams using a single photo. The tool, which is free and open source, allows anyone to impersonate another person's appearance in a video chat, raising concerns about remote deception and fraud. The article notes that similar technology has been used in a $25 million heist in Hong Kong and in audio deepfake scams.
- AI system involved
- Deep-Live-Cam
7 source articles · read the reporting →
AI-powered scam sent to Daniel Handford
Daniel Handford received a scam that used AI to appear more convincing. He tweeted about it to Martin Lewis, who said he had seen similar scams. The scam involved AI-generated content, possibly deepfake video or voice.
10 source articles · read the reporting →
Hackers use deep voice tech in $35 million theft
Hackers used deep voice technology to impersonate a person and steal $35 million. The Dubai Public Prosecution Office is investigating the money laundering that occurred in January 2020. The United States Department of Justice filed an application to assist the UAE in collecting evidence.
7 source articles · read the reporting →
Hong Kong police arrest six in fraud syndicate using AI deepfake for loan scams
Hong Kong police arrested six people in a crackdown on a fraud syndicate that used AI deepfake technology to create doctored images for loan scams targeting banks and money-lenders. The case marks the first known instance of scammers using deepfake to fleece financial agencies. The police reminded the public to be aware of signs of deepfakes in video calls.
9 source articles · read the reporting →
Study finds Midjourney, DALL-E 2, Stable Diffusion accept over 85% of fake news prompts
A study by AI startup Logically tested Midjourney, DALL-E 2, and Stable Diffusion and found that they accepted over 85% of prompts seeking to generate fake political news. The systems generated images of ballot stuffing, small boat arrivals, and explosions. Logically warned that the lack of moderation could pose threats to upcoming elections. Stability AI responded by stating its ethical use license and measures to prevent misuse.
- Company involved
- Midjourney, OpenAI, Stability AI
- AI system involved
- Midjourney, DALL-E 2, Stable Diffusion
8 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
Immigration NZ uses data model to predict likely troublemakers among overstayers
Immigration New Zealand has been piloting a data modelling system that uses demographic information such as age, gender, and ethnicity of overstayers to predict which individuals are likely to commit crime or incur hospital debts. The system then targets those individuals for accelerated deportation. Critics, including immigration lawyers and a lobby group, have likened the programme to 'Minority Report' and allege it amounts to racial profiling. Immigration Minister Iain Lees-Galloway only learned of the programme on the day of the article and said he would seek a full briefing, but maintained it is not racial profiling and does not breach the Human Rights Act.
- Company involved
- Immigration New Zealand
10 source articles · read the reporting →
California EDD's automated fraud detection wrongly suspended 600,000 legitimate unemployment claims
In January 2021, the California Employment Development Department used Thompson Reuters automated batch review software to flag 1.1 million unemployment claims as potentially fraudulent. EDD stopped payments on those claims without prior notice. Later, over 600,000 were confirmed as legitimate after claimants used ID.me to verify their identity. The incident highlights the trade-off between fraud prevention and timely benefit access.
- Company involved
- California Employment Development Department (EDD)
- AI system involved
- Thompson Reuters Automated Batch Review
7 source articles · read the reporting →
OnlyFake site uses neural networks to generate fake IDs, bypasses OKX verification
An underground website called OnlyFake uses neural networks to generate realistic photos of fake IDs for $15. The journalist tested the service and obtained a convincing California driver's license. They then used another fake ID to successfully bypass the identity verification process on OKX, a cryptocurrency exchange. The article alleges that this technology could streamline bank fraud and money laundering, but reports no actual financial loss.
- Company involved
- OKX
- AI system involved
- OnlyFake
10 source articles · read the reporting →
Hong Kong police arrest eight over deepfake bank account scam
Hong Kong police arrested eight people accused of running a scam ring that used deepfake images to bypass bank verification checks and open accounts. The deepfakes were created by merging scammers' faces with those on lost identity cards using artificial intelligence. The arrests were announced on 19 April 2025.
2 source articles · read the reporting →
NBI raids Makati love scam facility using AI-generated fake female profiles
The National Bureau of Investigation raided a Makati condominium believed to be a love-scam facility, arresting about 100 suspects. The scammers used AI-generated conversations and fake profile pictures of women to trick victims into investing in fraudulent cryptocurrency schemes. Singaporean actor Laurence Pang said he lost S$35,000 after being deceived by such a scheme via the dating site PinaLove in late 2024; the PNP Anti-Cybercrime Group confirmed he was a victim. The NBI continues to interrogate a Chinese national said to be the supervisor.
2 source articles · read the reporting →
South Korean police arrest 45 in deepfake romance scam defrauding 12 billion won
A criminal group in South Korea used deepfake technology to create a fictional woman and conducted romance scams via chat apps, defrauding over 100 victims of about 12 billion won. The victims included elderly, disabled, and small business owners. Police arrested 45 individuals and are seeking extradition of suspects abroad.
- Company involved
- Ulsan Police Agency
- AI system involved
- Deepfake technology
1 source article · read the reporting →
Swedish welfare agency's AI system flags marginalized groups for fraud investigations
Försäkringskassan, Sweden's Social Insurance Agency, uses an AI risk-scoring system to flag welfare applicants for fraud investigations. The system disproportionately targets women, individuals with foreign backgrounds, low-income earners, and those without university degrees, according to an investigation by Lighthouse Reports and Svenska Dagbladet. Amnesty International has called for the system to be discontinued, citing violations of the right to equality and non-discrimination.
- Company involved
- Försäkringskassan (Swedish Social Insurance Agency)
6 source articles · read the reporting →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
Dutch Ministry of Foreign Affairs used secret algorithm to score visa applicants based on nationality
The Dutch Ministry of Foreign Affairs used a secret algorithm called IOB to score short-stay visa applicants based on nationality, gender, and age. Applicants flagged as high risk were automatically moved to an intensive track with higher rejection rates and delays. The ministry's own data protection officer warned of potential ethnic discrimination, but the system continued to be used. The algorithm has profiled millions of applicants since 2015.
- Company involved
- Ministry of Foreign Affairs
- AI system involved
- IOB
10 source articles · read the reporting →
iBorderCtrl lie detector falsely flagged honest reporter as liar
A journalist testing Europe's iBorderCtrl virtual policeman at the Serbian-Hungarian border gave honest answers but was deemed a liar by the system, scoring 48 out of 100 with four false answers flagged. The Hungarian policeman said the result suggested further checks, though none were carried out. The reporter only learned of the result after filing a data access request under European privacy laws. Experts and transparency activists have criticised the technology as pseudoscientific and potentially discriminatory.
- Company involved
- iBorderCtrl consortium
- AI system involved
- Silent Talker / iBorderCtrl virtual policeman
10 source articles · read the reporting →
AI detectors falsely flag non-native English speakers' essays as AI-generated
A study by Stanford researchers found that seven popular AI text detectors wrongly flagged over half of essays written by non-native English speakers as AI-generated. The detectors assess text perplexity, and non-native speakers' simpler word choices lead to false positives. The researchers warn that this bias could have serious implications for students and job applicants, potentially leading to discrimination.
9 source articles · read the reporting →
Deepfake Trump video scam defrauds over 200 in Karnataka
An AI-generated video of Donald Trump promising quick returns scammed over 200 people across Karnataka, India, costing them more than ₹2 crore. Victims believed they were investing in 'Trump Hotel rentals' and saw fake earnings grow on their app until everything vanished. A police investigation is underway.
4 source articles · read the reporting →
DWP algorithm mistakenly flags 200,000 Housing Benefit claimants for fraud review
The UK Department for Work and Pensions (DWP) uses an algorithm to flag Housing Benefit claimants for possible fraud or error. According to a Big Brother Watch investigation, the algorithm has mistakenly flagged 200,000 innocent people, subjecting them to intrusive reviews. Only one in three flagged cases actually had errors, compared to two in three during the pilot. The DWP has spent £4.4 million on these pointless checks.
- Company involved
- Department for Work and Pensions (DWP)
6 source articles · read the reporting →
Audit of RisCanvi finds biases and reliability issues in criminal justice system
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
- Company involved
- Catalonia's criminal justice system
- AI system involved
- RisCanvi
4 source articles · read the reporting →
