N.J.’s largest AI data center hit with a stunning $1M fine for pollution - nj.com
The data center emitted pollution affecting nearby residents.
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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 “Cape Analytics, Inc. (part of Moody's Corporation)” · matched on meaning · public reporting
The data center emitted pollution affecting nearby residents.
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Microsoft dan xAI Digugat Warga atas Kebisingan Data Center - Telset.id
Microsoft and xAI are facing lawsuits from residents over noise from data centers in Wisconsin and Mississippi. At least six similar cases have been filed in 2026, alleging nuisance and negligence. The lawsuits highlight issues with low-frequency noise measurement and pollution from gas turbines.
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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.
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The AI-generated performance evaluation contributed to the teacher's termination.
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The AI platform screened job applicants, affecting their hiring prospects.
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Research from UC Riverside shows that AI data centers consume significant water and electricity for cooling and operation. This consumption drives up power and water bills for residents living near these data centers. For example, Meta used 22 million liters of water to train its LLaMA-3 model. Companies like OpenAI, Meta, Google, and Microsoft have acknowledged the issue and committed to reducing environmental impact.
7 source articles · read the reporting →
Scored job candidates based on facial analysis and other biometric data, affecting their hiring prospects.
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The data centers and gas turbines emitted constant noise, vibrations, and particulate matter, affecting residents' ability to use and enjoy their properties.
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Meta harvested user photographs and created biometric faceprints to enable a smart-glasses system that could identify strangers in public without consent.
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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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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.
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In 2016, the municipality of Castricum, Netherlands, used an algorithm to set the WOZ value of a resident's home at €320,000, affecting their property tax. The resident challenged the valuation, arguing earthquake damage reduced the value, but the municipality could not explain how the algorithm arrived at the figure. On appeal, an Amsterdam court upheld the valuation, finding it reasonable based on comparable sales, but ordered the municipality to pay court costs for failing to provide an explanation as required by GDPR.
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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.
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MeetingTV, a video conferencing startup, alleges that Koi Security used an AI system to generate a threat report that falsely linked it to a Chinese espionage operation. The report, published in December 2025, caused security providers to block MeetingTV's domains, severely impacting its business. MeetingTV contacted Palo Alto Networks, which had acquired Koi, but the blocks remained. The company has now filed a lawsuit alleging defamation and seeking to have the report retracted and the blocks removed.
2 source articles · read the reporting →
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.
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The Portland Water Bureau used a machine learning system in a randomised control trial to identify customers for its financial assistance programme. The system selected Columbia Sportswear CEO Tim Boyle, a billionaire and one of the city's largest residential water consumers, for a 40% water bill discount. Boyle declined the discount, stating it should go to someone who needs it. The bureau is testing whether the SERVUS algorithm can accurately identify customers' ability to pay.
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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.
4 source articles · read the reporting →
The Competition Bureau of Canada is investigating allegations that major corporate landlords, including Dream Unlimited, used AI-powered software YieldStar to coordinate rent increases. Tenant advocacy groups filed over 100 complaints, claiming the software recommended above-market rents, exacerbating housing affordability. Some landlords have since halted use of YieldStar amid public backlash, while the investigation continues.
7 source articles · read the reporting →
In July 2025, Urban Cyber Security updated its Urban VPN Proxy Chrome extension to automatically harvest everything users typed into major AI chatbots, including ChatGPT and Claude, as well as the chatbots' replies. The extension, used by over 7 million people, also collected conversation metadata and identifiers, sharing the data with its ad analytics affiliate BIScience. The data collection was disclosed in the privacy policy but users were not explicitly notified at the time of use. Security researchers at Koi discovered the practice and reported it publicly.
3 source articles · read the reporting →
Threat actors used Gamma, an AI-powered presentation builder, to host a page that redirected recipients to a fake Microsoft SharePoint login portal. Emails sent from compromised legitimate accounts passed authentication checks, while a Cloudflare Turnstile blocked automated security scanners. An adversary-in-the-middle framework validated credentials in real time and captured session cookies, enabling multi-factor authentication bypass on Microsoft accounts. Abnormal reported the campaign on 15 April 2025.
7 source articles · read the reporting →
Sidewalk Labs, a subsidiary of Alphabet, released a 1,500-page plan for a new development on Toronto's eastern waterfront, including the Quayside site. The plan involves extensive data collection and management, raising privacy concerns from critics and the public. Waterfront Toronto, the overseeing body, is reviewing the plan and has expressed concerns about its scope and data governance. The company has proposed an independent trust to oversee data, but critics remain unsatisfied.
10 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 →
Intel partnered with Class Technologies to use an AI system that analyses student emotions during Zoom classes to provide insights to teachers. Critics, including educator Todd Richmond, argued that facial expressions are not reliable indicators of internal states and that the system amounts to pseudoscience. The article reports these criticisms as allegations, not as proven fact. No specific incident of harm or regulatory action is reported.
10 source articles · read the reporting →
Momus Analytics, a legal technology company, uses machine learning to rank potential jurors for attorneys. Experts and researchers who reviewed the company's patent application say the algorithm relies on demographic characteristics such as race, which may violate constitutional prohibitions against discriminatory jury selection. The company claims its software has helped secure verdicts worth over $940 million, but did not respond to requests for comment.
9 source articles · read the reporting →