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 →
Portland Metro ends Replica partnership over data privacy concerns
Portland Metro, an elected regional government in Oregon, ended its pilot project with movement data company Replica after a disagreement about data sharing. Portland Metro requested raw, disaggregated data, which Replica refused to provide, citing user privacy concerns. The partnership was terminated without payment.
- Company involved
- Portland Metro
- AI system involved
- Replica
10 source articles · read the reporting →
LA's VI-SPDAT housing scoring system gives lower priority to Black and Latino people
The Los Angeles Homeless Services Authority uses the VI-SPDAT scoring system to prioritise unhoused people for subsidised permanent housing. An investigation by The Markup found that Black and Latino people consistently receive lower vulnerability scores than White people, leading to lower priority for housing. The agency has acknowledged the racial disparities and is working on a new tool, but continues to use the current system.
- Company involved
- Los Angeles Homeless Services Authority
- AI system involved
- VI-SPDAT
10 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 →
United States v. Hayes (E.D. California): AI-hallucinated content in court filing, Formal Sanction Imposed + Written Reprimand
The AI-generated fictitious citation was submitted in a motion to unseal, affecting the defendant's legal proceedings.
- Company involved
- Federal Public Defender's Office, Eastern District of California
1 source article · read the reporting →
ViaQuatro's facial recognition system in São Paulo metro challenged in court
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
- Company involved
- ViaQuatro
- AI system involved
- Digital Interactive Doors System (DID system)
10 source articles · read the reporting →
USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers
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.
- Company involved
- United States Postal Service
- AI system involved
- RRECS
9 source articles · read the reporting →
Joann LeDoux v. Outliers, Inc. (2) (W.D. Washington): AI-hallucinated content in court filing, Expert Brief excluded/struck
The AI-generated hallucinated citations in an expert report led to the exclusion of the expert and dismissal of the plaintiff's case.
1 source article · read the reporting →
Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions
Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.
- Company involved
- Udbetaling Danmark
10 source articles · read the reporting →
Danish students publish OkCupid user data, DPA investigates
Two Danish students scraped and published data on 70,000 OkCupid users, including sensitive sexual preferences and religious views, without anonymisation. The dataset was removed after OkCupid filed a copyright notice. The Danish Data Protection Authority (Datatilsynet) has launched an investigation into the incident.
10 source articles · read the reporting →
TOV Realty, LLC v. Suarez; Kosel Equity, LLC v. MacGregor (SC Connecticut): AI-hallucinated content in court filing, 6 hours CLE;…
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
- Company involved
- GLG Law LLC
- AI system involved
- ChatGPT
1 source article · read the reporting →
Unity faces employee concerns over military contract transparency
An investigation by Vice Games reported that Unity Technologies is not transparent with its developers about military contracts. Employees allege some are unaware their work on AI tools may become part of Department of Defense projects. CEO John Riccitiello stated the company will not support programs that violate its principles, but sources say many staff are angry. Unity said it cannot police all uses of its engine as it is a tool available to anyone.
- Company involved
- Unity Technologies
- AI system involved
- Unity engine
8 source articles · read the reporting →
JR East scraps facial recognition plan for past offenders
JR East, a Japanese train operator, installed facial recognition cameras at stations to identify past offenders, named criminal suspects, and suspicious persons. After criticism over a lack of societal consent, the company announced on 21 September 2021 that it had unregistered past offenders from the system. The company stated it would reinstate the system once clearer guidelines are established. No actual harm was reported.
- Company involved
- JR East
7 source articles · read the reporting →
Stable Diffusion amplifies racial and gender stereotypes in generated images
An analysis by Bloomberg of over 5,000 images generated by Stability AI's Stable Diffusion found that the text-to-image model amplifies racial and gender stereotypes. The model overrepresented lighter-skinned men in high-paying jobs and darker-skinned people in low-paying jobs, and underrepresented women in positions of power. Stability AI acknowledged the inherent biases in its models and stated it is working on mitigation.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion
8 source articles · read the reporting →
In re Rosslyn2016, LLC, et al. (S.D. Texas (Bankruptcy)): AI-hallucinated content in court filing, CLE on generative AI; Civil Contempt;…
The AI generated fabricated legal citations that were submitted to the bankruptcy court.
1 source article · read the reporting →
New Jersey court rules police must disclose facial recognition algorithms used to identify defendant
Francisco Arteaga was charged with armed robbery after a facial recognition search by the New York Police Department identified him as a possible match. The New Jersey police used this match to obtain witness identifications. Arteaga requested information about the facial recognition software, including its source code and error rate, but the trial court denied his request. The New Jersey appellate court ruled that the prosecution must disclose the algorithms, citing due process and the Brady rule.
- Company involved
- New Jersey Police
7 source articles · read the reporting →
Beus Gilbert PLLC v. Brigham Young University et al. (D. Utah): AI-hallucinated content in court filing, Two AI-ethics CLE courses;…
The AI system generated fake legal citations that were included in a court filing, misleading the court and opposing counsel.
1 source article · read the reporting →
Study finds Midjourney, DALL-E 2, Stable Diffusion accept over 85% of fake news prompts
A study by AI startup Logically tested Midjourney, DALL-E 2, and Stable Diffusion and found that they accepted over 85% of prompts seeking to generate fake political news. The systems generated images of ballot stuffing, small boat arrivals, and explosions. Logically warned that the lack of moderation could pose threats to upcoming elections. Stability AI responded by stating its ethical use license and measures to prevent misuse.
- Company involved
- Midjourney, OpenAI, Stability AI
- AI system involved
- Midjourney, DALL-E 2, Stable Diffusion
8 source articles · read the reporting →
Stable Diffusion reproduces exact copies of training images
Researchers found that Stable Diffusion, an AI image generation model, can reproduce exact copies of images from its training dataset, including copyrighted material and personal photos. The model memorized over a thousand training examples, posing copyright and privacy risks. The researchers warn that this is an industry-wide problem affecting models like DALL-E 2 and Imagen.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion
7 source articles · read the reporting →
Italian DPA says Interior Ministry's Sari Real Time facial recognition lacks legal basis
The Garante per la protezione dei dati personali issued an opinion on Sari Real Time, a facial recognition system developed for the Italian Ministry of Interior. The system, yet to become operational, would compare live video footage of people in public areas with a watch-list and alert police operators. The authority found the planned biometric processing lacked a specific legal basis under Italian law and Directive (EU) 2016/680, and warned it could turn targeted surveillance into mass surveillance.
- Company involved
- Ministero dell'Interno – Dipartimento della pubblica sicurezza
- AI system involved
- Sari Real Time
10 source articles · read the reporting →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
L'Observatoire de l'Europe uses AI to steal Euronews articles
Euronews reports that a site called L'Observatoire de l'Europe uses AI to generate a fake journalist named Jean Delaunay and automatically translate Euronews articles word-for-word, republishing them without permission. The site attributes all articles to the fake journalist. Euronews states that this happens daily and that the site will likely steal this article as well.
- Company involved
- L'Observatoire de l'Europe
6 source articles · read the reporting →
Dutch Ministry of Foreign Affairs used secret algorithm to score visa applicants based on nationality
The Dutch Ministry of Foreign Affairs used a secret algorithm called IOB to score short-stay visa applicants based on nationality, gender, and age. Applicants flagged as high risk were automatically moved to an intensive track with higher rejection rates and delays. The ministry's own data protection officer warned of potential ethnic discrimination, but the system continued to be used. The algorithm has profiled millions of applicants since 2015.
- Company involved
- Ministry of Foreign Affairs
- AI system involved
- IOB
10 source articles · read the reporting →
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 →
