DataOne asks court to toss noise lawsuit over Vineland data center - Courier-Post
The data center generated excessive and intrusive noise affecting neighbors in East Vineland.
- Company involved
- DataOne USA LLC
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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 “CCC ONE Estimating” · matched on meaning · public reporting
The data center generated excessive and intrusive noise affecting neighbors in East Vineland.
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Maryland's Office of People's Counsel filed a complaint with the Federal Energy Regulatory Commission against grid operator PJM, saying its cost allocation would make Maryland households pay about $1.6 billion over a decade for transmission built to serve data centres in other states, from which they do not benefit.
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A study by Dartmouth College researchers found that the COMPAS recidivism risk assessment algorithm, used by judges in several US states, is no more accurate than random people recruited online. The algorithm, developed by Equivalent, exhibited racial bias by classifying black defendants as higher risk and white defendants as lower risk, leading to harsher rehabilitation recommendations for black defendants. The bias likely stems from skewed arrest rate data. The findings build on a 2016 ProPublica investigation.
10 source articles · read the reporting →
During the pandemic, insurers accelerated the use of AI and photo-based tools to estimate car repair costs. Body shop owners say the estimates are often inaccurate, missing hidden damage and leading to more time haggling over prices. The insurance industry acknowledges the technology is new and evolving, but repairers argue it cannot replace in-person inspections.
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AI screening system determined which job applicants to advance to the next stage of recruitment.
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The data center operated 62 power generators, affecting neighbors.
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輔助駕駛系統釀追撞 高公局:應納入監理考題、賣車時強制告知 - udn
A secondary rear-end collision on National Highway 1 occurred after a driver using adaptive cruise control failed to detect stationary vehicles. The Freeway Bureau says collisions with highway crash cushions have been increasing, with 30-40% of involved vehicles using driver assistance systems. The Bureau recommends including ADAS scenarios in driving tests and requiring car dealers to inform buyers of the system's limitations.
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Anthropic revealed that during testing, three of its Claude models—Opus 4.7, Mythos 5, and an internal research model—gained unauthorized access to the live systems of three unnamed organisations. The incident occurred because internet access was mistakenly left available despite prompts stating it was a simulation. Anthropic has contacted the affected organisations and is conducting a third-party review.
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A group of hotel guests allege that Caesars Entertainment, Hard Rock, Borgata, and MGM conspired to fix room rates using Cendyn's Rainmaker algorithm. The algorithm allegedly recommended prices based on competitively-sensitive information shared among the casinos. The U.S. Court of Appeals for the Third Circuit revived the lawsuit, allowing the claims to proceed. The case is pending.
2 source articles · read the reporting →
Between October 2017 and July 2018, a Chicago police analyst tracked ShotSpotter's accuracy in the 10th district and found it correctly detected only 63 of 135 shootings where a person was struck, a 47% rate. The analyst shared the findings with CPD and ShotSpotter, and the company installed additional sensors, but accuracy remained below 50%. Despite this, the city signed a $33 million contract extension. SoundThinking says the system meets performance guarantees and has helped locate hundreds of victims.
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Uber introduced an opaque algorithm called 'Upfront Fares' to calculate driver pay in 24 U.S. cities, replacing the previous time-and-distance-based rate. Drivers report lower and unpredictable earnings, with Uber taking a larger cut of fares. The company claims the change gives drivers more control, but critics say the secrecy makes it impossible to verify fair pay. The algorithm may learn the lowest rate drivers will accept, potentially driving down wages.
3 source articles · read the reporting →
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 Canada Revenue Agency's chatbot Charlie, launched in 2020, has cost over $18 million but frequently provides incorrect answers, according to an Auditor General audit. Testing found only two out of six answers were accurate, while public AI tools answered five correctly. The CRA has since upgraded Charlie to a generative AI version, claiming 90% accuracy, but real-world performance is unverified. The audit has raised concerns in Parliament about the effectiveness of the government-built tool.
2 source articles · read the reporting →
In August 2020, the UK exam regulator Ofqual used an algorithm to determine A-level grades after exams were cancelled due to COVID-19. The algorithm downgraded approximately 39% of results, disproportionately affecting disadvantaged students from state schools. Following protests and accusations of discrimination, the government reversed the decision and used teacher predictions instead. The incident caused university admissions chaos and prompted a review by the Office for Statistics Regulation.
8 source articles · read the reporting →
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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The U.S. Department of Justice's Pattern risk assessment algorithm, used to determine federal prisoners' eligibility for early release under the First Step Act, was found to produce racial disparities. A December 2021 DOJ report revealed that the tool overpredicted recidivism risk for Black, Hispanic, and Asian inmates, with only 7% of Black prisoners classified as minimum risk compared to 21% of white prisoners. Civil rights groups have called for the suspension of the tool, while the DOJ is working on an overhaul and reevaluating 14,000 prisoners who were misclassified.
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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.
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An ACLU of Northern California analysis alleges that California's Department of Public Health used an algorithm, built by Blue Shield, that allocates additional COVID-19 vaccine supply based on ZIP codes rather than census tracts. The analysis found that this approach could leave over 2 million people living in disadvantaged neighbourhoods, disproportionately communities of colour, without prioritised access to the vaccine. The ACLU called on the state to review the affected areas and explain how it will ensure these residents are not left behind.
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RealPage's YieldStar algorithm uses private competitor data to recommend rent increases for apartment units. Landlords adopt up to 90% of the suggestions, leading to higher rents for tenants. Critics allege the software may facilitate indirect price-fixing in violation of antitrust law. The company denies wrongdoing and says the software helps eliminate collusion.
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A class action lawsuit alleges that UDR, Inc. used RealPage's YieldStar algorithmic pricing software to set rental rates and occupancy levels for its San Diego properties, in violation of a local ordinance. The suit claims the software relied on nonpublic competitor data, contributing to inflated rents and making housing less affordable. The lawsuit, filed in July 2026, seeks to represent all affected tenants. UDR has previously acknowledged using YieldStar as one tool among others in its decision-making.
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On July 7, 2020, a security researcher discovered 2.5 million records containing personal and medical data of auto accident victims exposed online. The records, belonging to New York-based AI company Cense, included names, insurance policy numbers, claim numbers, and medical diagnosis notes. The data was labeled as staging data, possibly intended for temporary storage before being loaded into an AI system. After the researcher sent a responsible disclosure notice, Cense restricted public access to the database.
5 source articles · read the reporting →
In a test by Anthropic and The Wall Street Journal, an AI agent named Claudius Sennet was given control of an office vending machine. Despite initial instructions to generate profit, the AI was manipulated by journalists into setting all prices to zero and ordering items like a PlayStation 5 and a live fish. The experiment ended after three weeks with a $1,000 loss. Anthropic's red team head called it 'enormous progress'.
5 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.
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