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.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
44 incidents closest to “Dynamic Revenue Plus” · matched on meaning · public reporting
Collected voice and facial biometrics from job applicants during video interviews without consent
1 source article · read the reporting →
The AI system generated and targeted scam advertisements to users, causing potential financial harm.
1 source article · read the reporting →
بحث غوغل بالذكاء الاصطناعي يعرض أسعارًا أعلى بـ 21.6% للمنتجات - وكالة عمون الاخبارية
A study found that Google's AI Mode shows the same products at prices 21.6% higher on average compared to traditional search. The primary seller for the same product differed nearly 50% of the time, suggesting AI Mode prioritizes different sellers and is less focused on low prices. Google stated that all shopping results, including AI Mode, use the same Shopping Graph data source.
1 source article · read the reporting →
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
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 →
The deepfake system created fake ads that induced investors to invest in Banxso and lose money.
1 source article · read the reporting →
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 February 2024, Meta's automated ad platform Advantage Plus began malfunctioning, causing advertisers' costs per impression to skyrocket and blowing through daily budgets without delivering sales. Multiple marketers reported that the AI-driven tool ignored cost caps and performed unpredictably, leading some to halt its use. Meta acknowledged a platform bug on February 14 and issued refunds to some, but problems persisted into April, with the company claiming the system was working as expected for most.
1 source article · 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.
1 source article · 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 →
The Attorney General of Washington DC filed a lawsuit against 14 large landlords, alleging they used RealPage's YieldStar software to form “a District-wide housing cartel” that artificially inflated rents. The complaint claims RealPage's pricing algorithm used data supplied by the landlords and pressurised them to follow its rate recommendations, with one firm's internal presentation stating at least 95% compliance was expected. This alleged scheme caused residents to pay millions of dollars above fair market prices during a housing affordability crisis.
10 source articles · read the reporting →
On June 3, 2017, during a terrorist attack on London Bridge, Uber's dynamic pricing algorithm increased ride prices by over 200% for 43 minutes. Customers attempting to flee the area faced surge pricing. The algorithm automatically adjusted prices based on supply and demand without accounting for the emergency.
7 source articles · read the reporting →
The Robodebt system, an automated debt recovery system used by Centrelink, calculated welfare debts using averaged income data from the ATO, leading to invalid debts. A class action was filed in November 2019 and settled in November 2020. The settlement provided refunds of over $751 million in invalid debts collected and $112 million in compensation to approximately 400,000 group members. The Australian government also dropped claims for over $1 billion in invalid debts.
10 source articles · read the reporting →
Deloitte used generative AI (Azure OpenAI GPT-4o) to help produce an independent assurance review for Australia's Department of Employment and Workplace Relations. The report, published in July 2025, contained multiple errors including non-existent academic references and a fabricated court case. After the errors were flagged, Deloitte acknowledged the AI use and agreed to refund the final instalment of the A$439,000 contract. The report was corrected, but its substance and recommendations remained unchanged.
5 source articles · read the reporting →
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.
10 source articles · read the reporting →
Scammers used AI-generated images and messaging to impersonate New Zealand's Commissioner of Inland Revenue, Peter Mersi, in social media ads inviting people to a fake crypto tax webinar. The ads aimed to trick people into giving personal information for identity theft or account access. Inland Revenue received over 3000 scam reports in three months and worked to have the ads removed, but they kept reappearing. The department warned the public about the increasing use of AI in investment scams.
2 source articles · read the reporting →
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.
1 source article · read the reporting →
A survey by the Transport Workers' Union found that UberEats car drivers experienced a 50% pay cut after the company changed its delivery allocation algorithm to preference cyclists and scooter riders. Drivers reported bankruptcy, homelessness, and inability to support their families. The TWU has called for regulation of the gig economy and delivered a letter to the NSW shadow minister.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
The Department for Work and Pensions (DWP) uses an automated means-testing algorithm in its Universal Credit system that miscalculates earnings due to a design flaw, leading to underpayments and fluctuating benefit amounts. Claimants such as Janet R. received payments hundreds of pounds short, forcing them into debt and foodbank use. A Court of Appeal ruling in June 2020 ordered the DWP to fix the flaw, but the department had not yet fully implemented the remedy at the time of writing.
10 source articles · read the reporting →
Allstate proposed an auto insurance rate adjustment plan in Maryland using a retention model algorithm that varied premium changes based on existing premiums. The algorithm would have increased rates up to 20% for customers already paying the highest premiums while capping increases at 5% for others, and would have denied meaningful discounts to thousands owed reductions. The Maryland Insurance Administration rejected the plan as discriminatory, but Allstate claims it was withdrawn and has continued proposing similar models elsewhere. The proposal never took effect in Maryland.
9 source articles · read the reporting →
Nevada replaced its income-based school funding formula with a machine learning model developed by Infinite Campus that generates a 'grad score' for each student. The model reduced the number of students eligible for supplemental funding from 288,000 to 63,000, disproportionately affecting low-income students. Critics argue the model lacks transparency and de-emphasizes economic status, potentially leaving many high-poverty schools underfunded.
7 source articles · read the reporting →
A study by Carnegie Mellon University found that Airbnb's smart-pricing algorithm increased the revenue gap between White and Black hosts, even though it narrowed the gap among hosts who adopted it. The algorithm, which sets daily prices automatically, was adopted by fewer Black hosts, so its suggested prices were closer to the optimum for White hosts. The researchers said the tool could reduce racial disparities only if more Black hosts adopted it.
10 source articles · read the reporting →
The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.
9 source articles · read the reporting →
