Shipt's new V2 algorithm reduces pay for 41% of workers, study finds
A study by MIT Media Lab and Coworker.org found that Shipt's new V2 payment algorithm reduced pay for 41% of workers by an average of 11% per shop. The algorithm, rolled out in September 2020, replaced a transparent payment system with a black-box model. Workers pooled data to analyze the impact, revealing uneven distribution of earnings.
- Company involved
- Shipt
- AI system involved
- V2
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Dutch police predictive policing project in Roermond faces discrimination allegations
Amnesty International's report alleges that the Dutch police's Sensing predictive policing project in Roermond uses algorithms that result in automated discrimination and mass surveillance. The system assesses crime risk for individuals and locations, potentially targeting marginalized communities. The report calls for accountability and human rights safeguards.
- Company involved
- Dutch police
- AI system involved
- Sensing project
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Attempted deepfake CEO voicemail fraud against an unnamed technology company
An attacker used synthetic audio deepfake to leave a voicemail impersonating the CEO of a technology company, asking an employee to call back to finalize an urgent business deal. The employee found it suspicious and referred the matter to the legal department, avoiding any loss. Nisos analyzed the audio and found inconsistencies in pitch and tone.
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Europol cracks down on network using deepfake ads for crypto fraud
Europol and national authorities in Belgium, Bulgaria, Germany, and Israel arrested two people in November as part of a crackdown on a criminal network that used fraudulent online ads and AI-generated deepfake videos to lure victims into fake cryptocurrency investment platforms. The network allegedly laundered 700 million euros ($816 million) through the scheme, which Europol described as operating on an 'industrial' scale. The arrests were the second phase of an operation that had already led to nine arrests in October. The article does not name the suspects or firms targeted.
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DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
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.
- Company involved
- DeepScore
- AI system involved
- DeepScore
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PwC develops facial recognition tool to monitor employees working from home
Accounting giant PwC has developed a facial recognition tool that logs when employees are absent from their computer screens while working from home. The tool, intended for financial institutions, requires workers to provide written reasons for any absences, including toilet breaks. Commentators have criticised the tool as a huge invasion of privacy, with concerns about damage to trust and increased stress. PwC stated that the technology is designed to help regulated institutions meet compliance obligations and that voluntary consent of traders is essential.
- Company involved
- PwC
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Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions
Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.
- Company involved
- Udbetaling Danmark
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Plastic Forte fined for using facial recognition on workers without notice
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.
- Company involved
- Plastic Forte
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Amazon Mentor app falsely flags drivers, leading to firings and lost pay
Amazon requires contracted delivery drivers to use the Mentor app, which tracks and scores driving behavior. Drivers report that the app falsely detects infractions, such as incoming calls or picking up a device, causing their scores to drop. This leads to disciplinary actions including firing, loss of bonuses, and reduced pay. Amazon has not addressed the specific allegations.
- Company involved
- Amazon
- AI system involved
- Mentor
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ScaleFactor reportedly failed to deliver promised automated bookkeeping software
ScaleFactor, an Austin-based startup, is reported to have failed to deliver the automated, real-time bookkeeping tools it promised customers, instead relying on human bookkeepers and a Filipino contract accounting firm. The company told Forbes in June that it was shutting down, initially blaming the pandemic, but Forbes later reported that its problems predated Covid-19. Investors reportedly came to see the company as more of a services business than a software platform, and pulled funding after a pivot to a marketplace model. No legal or regulatory action is reported.
- Company involved
- ScaleFactor
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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.
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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.
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Gorillas workers strike over algorithmic shift scheduling flaws
Workers at Gorillas delivery service in Berlin went on strike after an algorithm used for shift scheduling failed to comply with legal rest periods, causing shifts to be scheduled too close together. The algorithm, part of Project ACE, also generated incorrect warnings for missed shifts, leading to unfair firings. The workers demand full and timely payment of salaries, improved shift plans, and proper equipment. Management promised negotiations but instead hired private security to lock workers out.
- Company involved
- Gorillas
- AI system involved
- Project ACE
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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.
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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
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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
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Serco Leisure issued enforcement notices for unlawful biometric monitoring of employees
Serco Leisure and associated trusts used facial recognition and fingerprint scanning to monitor employee attendance at 38 leisure facilities. The ICO found they unlawfully processed biometric data of over 2,000 employees. Enforcement notices were issued ordering them to stop.
- Company involved
- Serco Leisure Operating Limited
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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.
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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)
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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.
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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)
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Microsoft Dynamics 365 Field Service AI singles out workers in performance predictions
A report by Cracked Labs found that Microsoft's Dynamics 365 Field Service software uses AI to generate performance metrics and predict task durations, singling out individual workers. The AI predictions can be influenced by the worker's identity, such as increasing or decreasing estimated duration. Microsoft stated the system is not intended for employment decisions and is not a surveillance tool, but the report raises concerns about potential misuse for worker monitoring.
- Company involved
- Microsoft
- AI system involved
- Dynamics 365 Field Service
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Singapore Firm Defrauded of $499K in Deepfake CEO Video Call Scam
In March 2025, a finance director at a multinational firm in Singapore authorised a US$499,000 payment during a Zoom call that appeared to include the company's CFO and other executives. The call was a deepfake, with AI-generated likenesses and voices. The fraudsters used the impersonation to request an urgent fund transfer for a purported acquisition. The company later discovered the deception and reported it to Singapore police.
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Scammers Use AI to Create Fake Joann Fabrics Websites to Steal Credit Card Data
After Joann Fabrics filed for bankruptcy in January 2025, scammers used AI to create impostor websites mimicking the retailer's site. These fake sites offered deep discounts to trick shoppers into providing credit-card information and personal data. Customers who placed orders never received products and had their payment information compromised. The incident highlights the growing use of AI by cybercriminals to create convincing fake websites.
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