The record

Where automated decisions went wrong

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.

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68 incidents closest to “ALEKS PPL” · matched on meaning · public reporting

WF-HT4UHG1 Jan 2011

Houston teachers sue over secret EVAAS evaluation algorithm

Houston Independent School District used the SAS Institute's EVAAS system, a proprietary algorithm, to evaluate teacher performance based on student test scores. The Houston Federation of Teachers and several teachers sued in 2014, alleging the system violated their Fourteenth Amendment procedural due process rights because the algorithm is a trade secret and teachers cannot verify the accuracy of their scores. A federal magistrate judge refused to dismiss the procedural due process claims in May 2017, ruling that teachers must have an opportunity to test the accuracy of the scores that could cost them their jobs.

Company involved
Houston Independent School District
AI system involved
Educational Value-Added Assessment System (EVAAS)

1 source article · read the reporting →

WF-L5NTEZ27 Oct 2014

Teachers find no value in SAS EVAAS system in Southwest School District

A study examined the SAS Education Value-Added Assessment System (EVAAS®) used by the Southwest School District (SSD) to evaluate teacher effectiveness for high-stakes consequences. Teachers reported that the system produced inconsistent results, was biased by student factors, and reduced morale and collaboration. The study found that teachers did not use the data formatively as intended, and unintended consequences included heightened pressure and teaching to the test.

Company involved
Southwest School District (SSD)
AI system involved
SAS Education Value-Added Assessment System (EVAAS®)

10 source articles · read the reporting →

WF-QY8DEQ26 Jun 2025

Hanoi students caught using AI to cheat in graduation exam

Two students in Hanoi used mobile phones to photograph questions from the national high school graduation exam and submitted them to AI apps like StudyX, Gemini, and ChatGPT for answers. Proctors detected the cheating, and the students were suspended. Hanoi police are investigating the incident, which has raised concerns about exam security and integrity. The students face disqualification and possible administrative or criminal penalties.

AI system involved
StudyX, Gemini, ChatGPT

2 source articles · read the reporting →

WF-R36DDB15 May 2023

Texas A&M Professor Uses ChatGPT to Falsely Accuse Students of Cheating

Jared Mumm, an instructor at Texas A&M University–Commerce, used ChatGPT to check if students' writing was AI-generated, leading him to accuse them of using the chatbot. He informed students they would receive an incomplete grade and those deemed guilty would get a zero, causing distress and temporarily withholding one student's diploma. The university investigated and stated that no students failed or were barred from graduating, and the professor is working individually with students to resolve the issue.

Company involved
Texas A&M University–Commerce
AI system involved
ChatGPT

5 source articles · read the reporting →

WF-FB00CQ1 Dec 2017

Australian education ministers scrap NAPLAN robot marking

The Education Council decided not to use automated essay scoring for NAPLAN writing tests, dropping a proposal by ACARA to have computers mark English tasks. Teachers' unions had campaigned against the plan, and an academic warned that the software would reward verbose gibberish and could not assess creativity. The decision was made in December 2017 and announced in January 2018.

Company involved
Australian Curriculum, Assessment and Reporting Authority (ACARA)

10 source articles · read the reporting →

RealPage's YieldStar algorithm pushes rents higher for tenants

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.

Company involved
RealPage
AI system involved
YieldStar

10 source articles · read the reporting →

UDR Sued Over Alleged Use of RealPage Algorithm to Set Rents in San Diego

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.

Company involved
UDR, Inc.
AI system involved
RealPage YieldStar

1 source article · read the reporting →

WF-961A0L1 Dec 2018

Educational Testing Service's E-rater algorithm biases essay scores against minority students

The Educational Testing Service's E-rater algorithm, used to grade essays on the GRE and other standardized tests, has been found to systematically give higher scores to students from mainland China and lower scores to African American students compared to human graders. The bias stems from the algorithm's reliance on surface-level metrics like vocabulary and sentence length, which disadvantage certain groups. Despite studies dating back to 1999, the bias persists, and in many states, only a small percentage of essays are reviewed by humans.

Company involved
Educational Testing Service
AI system involved
E-rater

10 source articles · read the reporting →

WF-KBSLAS16 Sep 2020

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

10 source articles · read the reporting →

WF-2AN5EC15 Nov 2020

Polish government suspends culture fund after algorithm grants millions to wealthy stars

The Polish government used an algorithm to allocate 400 million zloty in COVID-19 culture support funds. The algorithm awarded large sums to high-earning star performers, including 1.89 million zloty to a company managed by Paweł Golec. After public criticism, Culture Minister Piotr Gliński suspended the fund and announced a review. The government defended the algorithm, stating it was based on financial criteria and aimed to protect jobs.

Company involved
Polish Ministry of Culture and National Heritage

9 source articles · read the reporting →

WF-8VKXFD28 Jun 2020

UBC students raise concerns over Proctorio's privacy breach and discrimination

The University of British Columbia (UBC) uses Proctorio, an algorithmic test proctoring software, for remote exams. In June 2020, a UBC student reported an issue with Proctorio, and the company's CEO released the student's support chat logs, sparking privacy concerns. The AMS of UBC published an open letter alleging that Proctorio discriminates against students of colour, those with disabilities, and other groups by flagging 'abnormal' behaviours and denying access. The letter calls on UBC to end its contract with Proctorio and conduct an external audit.

Company involved
University of British Columbia
AI system involved
Proctorio

10 source articles · read the reporting →

WF-W8MY6X1 Sep 2020

Middle schooler beats Edgenuity grading algorithm to get perfect score

A seventh-grade student in the Los Angeles Unified School District received a failing grade on a history assignment graded by Edgenuity's automated scoring algorithm. With help from his mother, a history professor, he reverse-engineered the algorithm by writing a paragraph with relevant keywords and a jumble of words, earning a perfect score. The incident highlights concerns about the accuracy and fairness of automated grading systems in education.

Company involved
Los Angeles Unified School District
AI system involved
Edgenuity

10 source articles · read the reporting →

WF-IL3CFJ1 Jul 2020

ProctorU data breach exposes 444,000 user records

ProctorU, an online exam proctoring service, confirmed a data breach after a threat actor leaked a database of user records on a hacker forum. The database contained email addresses, names, addresses, phone numbers, and hashed passwords for approximately 444,000 users, including students from universities such as UCLA, Princeton, and Harvard, as well as U.S. military members. ProctorU stated that the breach involved records from 2014 and that they are investigating the incident.

Company involved
ProctorU
AI system involved
ProctorU

8 source articles · read the reporting →

WF-XH2W9I1 Sep 2020

Proctortrack data breach exposed student data from online proctoring

Proctortrack, an online proctoring service used by universities, suffered a data breach in September 2020 when its source code was leaked online. An analysis by Consumer Reports found that the code contained hard-coded passwords and exposed the names and email addresses of over 150 students. The company acknowledged the leak but said no harm resulted. Students had been required to use the software, which performed facial recognition and recorded video during exams.

Company involved
Proctortrack
AI system involved
Proctortrack

10 source articles · read the reporting →

WF-SD7T9128 Sep 2020

Student flagged by ProctorU for reading aloud during exam

A college student, Dana Jo, was flagged by ProctorU test proctoring software for talking during an exam, which she says was reading a question aloud. Her professor initially gave her a zero and placed an academic infraction on her record, jeopardizing her scholarships. After reviewing a video recording, the professor apologized, reinstated her grade, and removed the infraction. ProctorU's CEO stated that the incident highlights the importance of video recordings for review.

Company involved
University (not named)
AI system involved
ProctorU

5 source articles · read the reporting →

Wisconsin’s dropout prediction algorithm labels students high risk with racial bias

Wisconsin’s Dropout Early Warning System (DEWS) uses machine learning to predict middle school students' likelihood of graduating on time, relying on factors including race and income. The Markup found the algorithm frequently mislabels students, with a higher false alarm rate for Black and Hispanic students. The Wisconsin Department of Public Instruction has not informed schools of the racial disparities and continues to use the system.

Company involved
Wisconsin Department of Public Instruction
AI system involved
Dropout Early Warning System (DEWS)

10 source articles · read the reporting →

WF-53YZFN1 Jul 2023

Nevada's AI grad score model cuts funding for low-income students

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.

Company involved
Nevada Department of Education
AI system involved
Grad score model

7 source articles · read the reporting →

WF-YQ3F4O1 Nov 2015

Airbnb smart-pricing algorithm increased racial revenue gap, study finds

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.

Company involved
Airbnb
AI system involved
Airbnb smart-pricing algorithm

10 source articles · read the reporting →

WF-I6R3LD1 Mar 2023

Stanford takes down Alpaca AI demo over safety and cost concerns

Stanford University took down the web demo of its Alpaca AI language model due to safety and cost concerns. The model, based on Meta's LLaMA, was fine-tuned to follow instructions but could generate misinformation and toxic text. Researchers decided to remove the demo after it became publicly accessible, citing inadequate content filters and rising hosting costs.

Company involved
Stanford University
AI system involved
Alpaca

10 source articles · read the reporting →

WF-ARIFZJ13 Jul 2011

DCPS used allegedly false test scores in teacher value-added evaluations

The District of Columbia Public Schools used student test scores from schools under investigation for cheating in value-added calculations for teacher evaluations. More than 200 teachers were terminated based on these evaluations. Teachers can appeal their ratings to the chancellor, but decisions will not be made before the next school year. The school system removes affected scores only when cheating is confirmed.

Company involved
District of Columbia Public Schools
AI system involved
value-added model

10 source articles · read the reporting →

WF-JAFZJY1 Mar 2025

South Korea's AI textbook program rolled back after complaints

South Korea's Ministry of Education launched AI-powered digital textbooks in March 2025 for math, English, and computer science. Students, teachers, and parents complained about technical problems, inaccuracies, and data privacy risks. After four months, the textbooks were stripped of official status and made optional. The program was criticized for being rushed and insufficiently tested.

Company involved
South Korean Ministry of Education
AI system involved
AI-powered textbooks

7 source articles · read the reporting →

Answer.AI tests Devin and reports 14 failures in 20 tasks

Answer.AI's team tested Devin, an autonomous AI coding assistant, on 20 real-world tasks over a month. Devin succeeded in only 3 tasks, failed 14, and was inconclusive in 3. The team found Devin often produced overly complex or hallucinated solutions and could not recognize fundamental blockers. They ultimately decided to stick with tools that allow more human control.

AI system involved
Devin

5 source articles · read the reporting →

Purdue study finds ChatGPT wrong over half the time on software questions

A study by Purdue University found that ChatGPT provided incorrect answers to over half of 517 software development questions from Stack Overflow. Despite the errors, 34% of users preferred ChatGPT's answers over human responses. The study warns that relying on ChatGPT for coding could jeopardize programmers' professional reputations.

Company involved
OpenAI
AI system involved
ChatGPT

9 source articles · read the reporting →

WF-G1A5LS1 Nov 2023

ETH Zurich study shows LLMs can infer Reddit users' personal data

Researchers at ETH Zurich conducted a study where nine large language models, including GPT-4, analysed Reddit users' posts and inferred personal attributes such as age, location, gender, and income with up to 85% accuracy. The study randomly selected 520 users and found that GPT-4 was most accurate, while LlaMA-2-7b was least. The researchers warn that people unknowingly reveal personal information online that LLMs can exploit.

Company involved
ETH Zurich
AI system involved
GPT-4, LlaMA-2-7b

4 source articles · read the reporting →

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