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 “Pear Deck Learning” · matched on meaning · public 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 →

Facial recognition trialled in Australian schools to mark attendance

Five Australian schools are trialling a facial recognition system from LoopLearn to automate student attendance. The system scans students' faces and sends attendance data to an app. Privacy experts have raised concerns about data security and surveillance. The Victorian government previously tried to stop the trial due to privacy risks.

Company involved
Clarendon College
AI system involved
LoopLearn

10 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 →

Dartmouth Medical School charges 17 students with cheating based on tracking system.

Dartmouth College's Geisel School of Medicine charged 17 students with cheating on remote exams during the pandemic. The charges were based on secret tracking of student activity on the learning management system. Critics say the system is prone to errors and inappropriate for monitoring students.

Company involved
Dartmouth College Geisel School of Medicine

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-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 →

OpenAI's CLIP vision system fooled by handwritten notes

OpenAI researchers discovered that their CLIP computer vision system can be deceived by handwritten labels placed on objects. The system's multimodal neurons respond to text as well as images, causing it to misidentify objects. The attack, called a typographic attack, is a research finding and not a deployed system. No actual harm occurred.

Company involved
OpenAI
AI system involved
CLIP

10 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 →

Researchers jailbreak Stable Diffusion and DALL-E 2 to generate disturbing images

Researchers from Johns Hopkins and Duke universities developed a method called SneakyPrompt that uses reinforcement learning to bypass safety filters in text-to-image AI models. The technique allowed them to generate images of nudity and violence from Stable Diffusion and DALL-E 2. OpenAI has since fixed the vulnerability in DALL-E 2, but Stable Diffusion 1.4 remains vulnerable. Stability AI says it is working with the researchers to improve defenses.

AI system involved
Stable Diffusion 1.4 and DALL-E 2

5 source articles · read the reporting →

DeepSeek-R1 censors 85% of sensitive Chinese political prompts in tests

Promptfoo tested DeepSeek-R1 against a dataset of 1,360 politically sensitive prompts and found that about 85% of them were refused. The refusals followed a standard form aligned with Chinese Communist Party policy. The testing also demonstrated that the censorship could be trivially bypassed using simple jailbreak techniques, such as prompt injection or changing the context.

Company involved
DeepSeek
AI system involved
DeepSeek-R1

5 source articles · read the reporting →

Researchers extract training data from ChatGPT using repeat prompt

Researchers from Google DeepMind and other institutions developed an attack that extracts verbatim training data from OpenAI's ChatGPT. By prompting the model to repeat a word forever, they caused it to output memorized personal information, including email addresses and phone numbers. The attack demonstrates that alignment techniques can be circumvented, and the researchers estimate that a gigabyte of training data could be extracted.

Company involved
OpenAI
AI system involved
ChatGPT

8 source articles · read the reporting →

WF-2ABL3N30 Nov 2023

Bavarian police test Palantir data mining with real personal data

The Bavarian State Criminal Police Office (LKA) has been testing Palantir's data mining software, called VeRa, with real personal data for months. The Bavarian data protection commissioner only learned of the test through a media inquiry and has announced a review. The Interior Ministry claims the test is lawful under current law, but critics argue a legal basis is missing.

Company involved
Bayerisches Landeskriminalamt
AI system involved
VeRa

7 source articles · read the reporting →

Presto Automation uses off-site human agents to double-check AI drive-thru orders

Presto Automation Inc, which markets an AI voice assistant for drive-thru ordering, used off-site human agents in countries including the Philippines to double-check orders in more than 70% of customer interactions, according to SEC filings reported by Bloomberg. The company told Bloomberg that the process helps train its system and should reduce human intervention over time. Presto's drive-thru AI is used in more than 400 restaurants, including Del Taco, Carl's Jr and Checkers, and its stock fell more than 10% after the reports.

Company involved
Presto Automation Inc.

8 source articles · read the reporting →

WF-EA6R453 Jan 2023

New York City Department of Education blocks ChatGPT on school devices

The New York City Department of Education blocked access to the AI chatbot ChatGPT on school devices and networks, citing concerns about negative impacts on student learning and the safety and accuracy of content. The ban applies to all students and teachers on education department devices and internet networks. Individual schools can still request access for studying the technology. The move is the nation's largest school system's response to the arrival of ChatGPT.

Company involved
New York City Department of Education
AI system involved
ChatGPT

9 source articles · read the reporting →

WF-TT1WEC30 Sep 2020

UIUC students petition to stop Proctorio exam proctoring over privacy concerns

A petition at the University of Illinois at Urbana-Champaign (UIUC) alleges that Proctorio, an online exam proctoring system, violates student privacy by accessing websites, downloads, screen content, and app settings. The petition claims the terms of service allow monitoring by 'any other means necessary', which students find unsettling. The petition, created on September 30, 2020, gathered 1,087 supporters but does not report any specific incident of harm. It calls on UIUC to discontinue use of Proctorio in favour of alternatives.

Company involved
UIUC
AI system involved
Proctorio

9 source articles · read the reporting →

WF-UENLG626 Mar 2024

ChatGPT use linked to memory loss and procrastination in students

A study published in the International Journal of Educational Technology in Higher Education surveyed hundreds of university students in Pakistan and found that those who relied more on ChatGPT reported increased procrastination, memory loss, and lower GPAs. The researchers attribute this to the chatbot making schoolwork too easy, reducing students' cognitive effort. The study's lead author warned of a "dark side" to excessive generative AI usage.

Company involved
National University of Computer and Emerging Sciences
AI system involved
ChatGPT

4 source articles · read the reporting →

WF-IG5R9T9 Apr 2024

Texas uses AI to grade student STAAR test answers

The Texas Education Agency will use an automated scoring engine to grade written answers on the 2023 STAAR tests, replacing thousands of human graders. The system uses natural language processing and will initially score all responses, with a quarter rescored by humans. Educators have expressed concerns about the system's fairness and the potential for errors, especially for creative or non-standard answers.

Company involved
Texas Education Agency
AI system involved
automated scoring engine

10 source articles · read the reporting →

WF-4N6UFD1 Mar 2021

Baltimore schools monitor student laptops for suicide signs using GoGuardian Beacon

Baltimore City Public Schools uses GoGuardian Beacon software to monitor student laptops for signs of suicide. Since March 2021, the system has flagged 786 alerts, with nine students taken to emergency rooms. Privacy advocates warn the monitoring could lead to disciplinary actions, outing of LGBTQ students, and disproportionately affect disadvantaged students. School officials defend the practice as a safeguard.

Company involved
Baltimore City Public Schools
AI system involved
GoGuardian Beacon

10 source articles · read the reporting →

WF-CQREJ01 Apr 2021

Proctorio anti-cheating software failed to catch student cheaters in study

Researchers at the University of Twente in the Netherlands tested Proctorio, an anti-cheating software, by asking 30 computer science students to sit an exam while six of them cheated. Proctorio did not flag any of the cheaters and flagged some honest students for irregular behaviour. An independent human review caught only one of the six cheaters. Proctorio disputed the study's methodology and cited other research.

Company involved
Proctorio
AI system involved
Proctorio

5 source articles · read the reporting →

WF-59TDC91 Oct 2021

Ask Delphi AI trained on Reddit posts gave unethical answers including endorsing genocide

Ask Delphi, an AI system designed to answer ethical questions, was trained on Reddit posts and crowdworker judgments. It produced responses that were racist, sexist, homophobic, and endorsed genocide if it made people happy. Researchers updated the system three times and added warnings. Critics argue that teaching AI ethics is fundamentally flawed.

AI system involved
Ask Delphi

8 source articles · read the reporting →

DeepSeek's R1 chatbot failed to block any jailbreak prompts in security tests

Security researchers from Cisco and the University of Pennsylvania tested 50 well-known jailbreak prompts against DeepSeek's R1 reasoning model. The model did not detect or block a single one, achieving a 100 percent attack success rate. The researchers allege that DeepSeek's safety guardrails are far behind those of competitors like OpenAI. DeepSeek did not respond to requests for comment.

Company involved
DeepSeek
AI system involved
DeepSeek R1

3 source articles · read the reporting →

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