NAACP sues xAI, alleging unlawful operation of gas turbines in Southaven
The NAACP, represented by the Southern Environmental Law Center and Earthjustice, sued xAI and its subsidiary MZX Tech, alleging it ran dozens of methane gas turbines in Southaven, Mississippi, without a Clean Air Act permit to power its Colossus 2 AI data centre. The groups say the plant may be the largest industrial source of smog-forming nitrogen oxides in the Memphis area and that nearby, largely Black neighbourhoods bear the pollution. The US Justice Department later moved to have the case dismissed, citing national security.
- Company involved
- xAI
- AI system involved
- Colossus 2 power plant
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AI Scammers Clone Exante Broker, Use JPMorgan Account to Defraud US Victim
Scammers used generative AI to create a fake clone of the brokerage firm Exante, including a replicated trading platform and AI-generated passports. They opened a real JPMorgan Chase bank account using a US address and tricked at least one US victim into transferring funds. Exante, which does not serve US clients, discovered the scam when the victim was registered on its real platform and reported the incident to the FBI, SEC, CFTC, and other authorities. The scammers remain unidentified, and the victim's funds have not been recovered.
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AI Hiring Platform Faces FCRA Class Action Over Data Use | Kistler et al. v. Eightfold AI Inc.
The AI platform screened job applicants, affecting their hiring prospects.
- Company involved
- Eightfold AI
- AI system involved
- Eightfold AI
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Data Breach Exposes Over 10 Million Conversations from Middle Eastern AI Call Center Platform
Resecurity discovered a dark web posting on 8 October 2024 offering data stolen from a major AI-powered cloud call center platform in the Middle East. The threat actor gained unauthorized access to the management dashboard, compromising over 10,210,800 conversations between consumers, operators, and AI chatbots. The exposed data included personally identifiable information and national ID documents, creating risks of fraud and identity theft. Resecurity alerted the affected organization and collaborated with law enforcement to mitigate the incident.
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xAI Data Center Noise Controversy, Explained - basenor.com
The xAI data center facility generated persistent noise, vibrations, and air quality issues from gas turbines, affecting nearby residents in Southaven, Mississippi.
- Company involved
- xAI
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AI-Generated Fake Investment Websites Target Australian Fraud Analyst
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.
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Hacker Used Claude AI to Automate Extortion Campaign Against 17 Organizations
A hacker used Anthropic's Claude AI Code to automate reconnaissance, credential harvesting, and extortion against 17 organizations in healthcare, emergency services, government, and religious sectors. The AI agent handled the entire attack chain, including calculating ransom demands exceeding $500,000 and designing extortion messages. Anthropic detected the misuse, banned the actor's accounts, and deployed a tailored detection classifier. The incident highlights the growing trend of AI-powered cybercrime.
- AI system involved
- Claude Code
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SEC Charges Delphia and Global Predictions for False AI Claims
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.
- Company involved
- Delphia (USA) Inc. and Global Predictions Inc.
1 source article · read the reporting →
McKinsey's Lilli AI Platform Hacked, Exposing 46 Million Chat Messages
Security researchers at CodeWall used an autonomous offensive agent to discover a SQL injection vulnerability in McKinsey's internal AI platform, Lilli. The vulnerability allowed unauthenticated access to the production database, exposing 46.5 million chat messages, 728,000 files, and 57,000 user accounts. The researchers responsibly disclosed the issue to McKinsey, who patched the endpoints within days. No data was exfiltrated or misused, and no disruption occurred.
- Company involved
- McKinsey & Company
- AI system involved
- Lilli
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Anthropic accuses Chinese labs of illicitly distilling Claude
Anthropic accused three Chinese AI labs—DeepSeek, Moonshot, and MiniMax—of running industrial-scale distillation campaigns to extract capabilities from its Claude model. The labs allegedly used 24,000 fraudulent accounts and proxy services to send 16 million bulk requests, violating terms of service. Anthropic warned that illicitly distilled models lack safeguards and could enable offensive cyber operations, disinformation, and mass surveillance, posing national security risks. The company called for stronger export controls.
- Company involved
- Anthropic
- AI system involved
- Claude
4 source articles · read the reporting →
U.S. Department of Homeland Security Uses Secret Algorithm ATLAS to Flag Naturalized Citizens for Denaturalization
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.
- Company involved
- U.S. Department of Homeland Security
- AI system involved
- ATLAS
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Durham Police uses Experian Mosaic data in HART AI risk tool
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.
- Company involved
- Durham Constabulary
- AI system involved
- Harm Assessment Risk Tool (HART)
9 source articles · read the reporting →
Xinjiang Police App Enables Mass Surveillance and Arbitrary Detention of Uyghurs
Human Rights Watch reverse-engineered a police app used in Xinjiang, China, revealing that the Integrated Joint Operations Platform (IJOP) collects vast personal data and flags individuals as suspicious based on broad criteria. The system targets ethnic Uyghurs and Turkic Muslims, leading to mass arbitrary detention, forced indoctrination, and movement restrictions. The Chinese government operates the system, supplied by a subsidiary of CETC, and has not informed or obtained consent from those surveilled. The report calls for shutting down the system and releasing detainees.
- Company involved
- Chinese government
- AI system involved
- Integrated Joint Operations Platform (IJOP)
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Hong Kong tycoon sues Tyndaris over AI hedge fund losses
Hong Kong tycoon Samathur Li Kin-kan is suing Tyndaris Investments after its AI-powered hedge fund, K1, lost over $20 million in a single day. Li alleges that the system was not as sophisticated as claimed. The trial is set to begin in London in April 2020.
- Company involved
- Tyndaris Investments
- AI system involved
- K1
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SenseNets silent after data leak exposes millions of people's records
SenseNets Technology Ltd., a Shenzhen-based facial recognition company, left a database containing personal information of more than 2.5 million people publicly accessible without password protection for months. Dutch security researcher Victor Gevers and the GDI Foundation discovered the exposure in July and warned the company, which did not respond. The database was secured in February after the leak was reported, and the company is reported to be conducting an internal investigation. SenseNets has declined to comment publicly.
- Company involved
- SenseNets Technology Ltd.
10 source articles · read the reporting →
Texas AG Settles with Pieces Technologies Over Deceptive Healthcare AI Claims
The Texas Attorney General investigated Pieces Technologies, a Dallas-based healthcare AI company, for making false and misleading statements about the accuracy of its generative AI product used in hospitals. The company claimed an error rate of less than 1 per 100,000, but the investigation found these metrics were likely inaccurate. As part of the settlement, Pieces agreed to accurately disclose its product's accuracy and ensure hospital staff understand the appropriate reliance on its AI. The case marks the first-of-its-kind healthcare generative AI investigation by the AG.
- Company involved
- Pieces Technologies
4 source articles · read the reporting →
UK councils use Covid OneView AI to harvest personal data for risk scoring
UK local authorities are using a system called Covid OneView, developed by data analytics firm Xantura, to harvest millions of personal details from council records. The system uses predictive analytics and AI to assign risk scores to households and individuals, aiming to identify those vulnerable to Covid or likely to break lockdown rules. Privacy campaigners and MPs have criticised the lack of transparency and the extent of data collection, which includes sensitive information such as debt levels, living arrangements, and even notes on unfaithful sex. Xantura and Barking and Dagenham Council have defended the system as compliant with data protection rules and focused on providing support.
- Company involved
- UK local authorities
- AI system involved
- Covid OneView
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EU to trial AI lie detector at airports in Hungary, Latvia, Greece
The European Union is set to trial an AI-powered lie detector system called iBorderCtrl at airports in Hungary, Latvia and Greece. The system uses a virtual avatar to question passengers and monitors their facial expressions to detect deception. Privacy groups have raised concerns about bias and error rates, noting that the technology has only been tested on 32 people. The trial will require passenger consent and will be overseen by human guards.
- Company involved
- European Union (iBorderCtrl project)
- AI system involved
- iBorderCtrl
6 source articles · read the reporting →
Finnish recruitment company Digital Minds used AI to analyze job applicants' messages, prompting data protection investigation
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.
- Company involved
- Digital Minds
- AI system involved
- IBM Watson
9 source articles · read the reporting →
Chinese tech companies patented Uyghur detection analytics
IPVM reported that Huawei, Megvii, SenseTime, and other Chinese tech companies filed patents in China for AI systems that can detect Uyghur ethnicity. The patents included Uyghur as a detectable attribute for facial recognition and image retrieval. The companies responded by saying they would amend or withdraw the patents, claiming the references were misunderstood or regrettable, while the technology is used by police for surveillance and targeting of Uyghurs.
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AI drug discovery system repurposed to generate toxic molecules in demonstration
In 2020, Collaborations Pharmaceuticals demonstrated that its AI drug discovery system, MegaSyn, could be repurposed to generate toxic molecules similar to the nerve agent VX. The company ran the software overnight and produced 40,000 potentially hazardous substances. The researchers presented their findings at a conference and briefed the White House, warning that such AI systems could be misused to create chemical weapons.
- Company involved
- Collaborations Pharmaceuticals
- AI system involved
- MegaSyn
10 source articles · read the reporting →
Study finds Italian car insurers charge more based on birthplace
A study by the Universities of Padua, Udine and Carnegie Mellon found that Italian car insurers, including Genertel, Mps, Quixa and Con.Te, use birthplace and citizenship in pricing algorithms, charging some drivers over €1,000 more. The practice was ruled against in a 2018 decree involving Linear, but the study says it continues. The companies contacted denied or explained the findings.
- Company involved
- Genertel, Mps, Quixa, Con.Te
8 source articles · read the reporting →
Qoves facial assessment tool ranks journalist's attractiveness and suggests procedures
Tate Ryan-Mosley, a journalist at MIT Technology Review, used Qoves Studio's AI facial assessment tool, which automatically scored her face and listed perceived flaws such as smile lines and under-eye bags. The tool recommended skin-care products and paid surgical consultation reports. She also tried Megvii's Face++ beauty-scoring system, which gave her two percentage attractiveness scores. The article raises concerns that such algorithms are inaccurate, biased and not transparently used by social media platforms.
- Company involved
- Qoves Studio
- AI system involved
- Facial Assessment Tool
9 source articles · read the reporting →
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
6 source articles · read the reporting →