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 →
CBSE introduces facial recognition system for students to access digital documents
The Central Board of Secondary Education (CBSE) has introduced a facial recognition system for Class 10 and 12 students to access their digital academic documents. A live image of the student is compared with the photograph on their CBSE admit card and, if the match succeeds, the certificate is emailed to them. The facility is available on Digi Locker for 2020 records and is expected to help foreign students and those unable to open a Digi Locker account.
- Company involved
- Central Board of Secondary Education (CBSE)
- AI system involved
- Facial Recognition System
10 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 →
Landberg v City of New York (CA NY (2d)): AI-hallucinated content in court filing, Monetary Sanction
AI-generated fake legal citations were included in a court filing, resulting in monetary sanctions against the attorney and his law firm.
1 source article · read the reporting →
Aguilar v. The Crawford Group, Inc. (D. Massachusetts): AI-hallucinated content in court filing, Adverse Costs Order; Pro hac vice status…
The AI generated fake legal citations that were included in a court filing, misleading the court and opposing counsel.
- Company involved
- Lindemann Law Firm
1 source article · read the reporting →
Barteca Holdings v. Tacobarn (D. Connecticut): AI-hallucinated content in court filing, Monetary Sanction; Bar Referral
The attorney filed a court document containing AI-hallucinated legal authorities, misleading the court and opposing party.
- Company involved
- Hilary Miller
1 source article · 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 →
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 →
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 →
Henry v. Long Island University (E.D. New York): AI-hallucinated content in court filing, Two-year filing-disclosure sanction
The court granted a motion to dismiss and imposed sanctions on plaintiff's counsel for submitting a brief with AI-hallucinated fake cases.
1 source article · read the reporting →
Quinteros v. Harbor Distributing, LLC (CA California (1d)): AI-hallucinated content in court filing, Monetary Sanction; Bar referral
AI generated hallucinated legal citations that were filed in court, misleading the court and opposing counsel.
- Company involved
- Lipeles Law Group
1 source article · read the reporting →
JMOR Properties v. Artist Alley Townhomes et al. (CA Florida (4d)): AI-hallucinated content in court filing, Bar Referral
The AI generated fabricated legal citations that were included in a court filing, affecting the court and the opposing party.
1 source article · 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 →
Jessica Fuller v. Hyde School, et al. (D. Maine): AI-hallucinated content in court filing, CLE; Firm procedures and certification; Serve…
The AI generated fictitious legal citations that were submitted to the court in a legal filing.
- AI system involved
- ChatGPT or Claude
1 source article · 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 →
ООО «Точка опоры» v. ООО «ЦСС» (West Siberian District AC): AI-hallucinated content in court filing, Monetary Fine
The AI system generated fake legal citations that were submitted to the court, resulting in a fine for contempt.
- Company involved
- ООО «ЦСС»
1 source article · read the reporting →
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 →
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 →
DevTernity conference cancelled after fake women speakers exposed
The DevTernity software developer conference was cancelled after allegations that organiser Eduards Sizovs added fake women speakers to the lineup. Sizovs admitted at least one profile, 'Anna Boyko', was an auto-generated 'demo persona' that appeared on the site by mistake. The conference was scheduled to begin December 7 but was called off after several speakers withdrew. Sizovs denied wrongdoing and said he had fixed the code and written a test to prevent a recurrence.
- Company involved
- DevTernity
9 source articles · read the reporting →
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 →
CJEU rules Dun & Bradstreet must explain automated credit decisions under GDPR
A customer was refused a mobile phone contract because of an automated credit assessment by Dun & Bradstreet Austria. The customer took the case to court, which found that Dun & Bradstreet had infringed the GDPR by failing to provide meaningful information about the logic involved. The CJEU ruled that data controllers must explain automated decisions and that trade secrets cannot automatically override the right of access.
- Company involved
- Dun & Bradstreet Austria GmbH
7 source articles · read the reporting →
Anti-piracy group takes down Books3 dataset used to train Meta's LLaMA
The Danish anti-piracy group Rights Alliance sent a DMCA takedown request to The Eye, which hosted the Books3 dataset containing 196,640 copyrighted books. The dataset was used by Meta to train its LLaMA language model. Authors including Sarah Silverman have filed a class action lawsuit against Meta for using their works without permission. The dataset has been taken offline, but copies remain available.
- Company involved
- Meta
- AI system involved
- LLaMA
10 source articles · read the reporting →
Duke University recorded students' faces without proper consent for public dataset
In March 2014, Duke University researchers recorded thousands of students walking to class on campus without their knowledge or proper consent, creating the DukeMTMC dataset of over 2 million image frames. The dataset was placed on a public website and downloaded by academics, security contractors, and military researchers globally, including Chinese companies and military academies linked to surveillance of ethnic minorities. The university took down the public website in April 2019 after an Institutional Review Board investigation found the study deviated significantly from the approved protocol. The lead researcher apologized, stating he took full responsibility for his mistakes.
- Company involved
- Duke University
- AI system involved
- DukeMTMC
10 source articles · read the reporting →
OpenDream AI art site allowed users to generate child sexual abuse material
OpenDream, an AI image generation platform, allowed users to generate and publicly display child sexual abuse material (CSAM) and non-consensual deepfakes from at least December 2023 until July 2024. The platform, operated by CBM Media Pte Ltd in Singapore, offered paid plans with NSFW prompts and models. Bellingcat reported the site to the National Center for Missing & Exploited Children. After Bellingcat's inquiry, the CSAM was removed from the site and search engines, and Google terminated OpenDream's AdSense account.
- Company involved
- CBM Media Pte Ltd
- AI system involved
- OpenDream
3 source articles · read the reporting →
