Retorio AI personality test swayed by candidate appearance in BR experiment
Bayerischer Rundfunk journalists conducted experiments with Retorio's AI video interview analysis tool. The AI, which assesses personality traits from short videos, produced different scores when the same actress changed her appearance (glasses, headscarf, wig) or the video background and lighting were altered. The start-up Retorio acknowledged that the AI considers external image, similar to a human interviewer. Experts warned that such software could perpetuate stereotypes and unfairly affect job candidates.
- AI system involved
- Retorio AI
10 source articles · read the reporting →
Recurso de Suplicación 0005472/2025 (T.S.X. Galicia): AI-hallucinated content in court filing, Bar Referral
The AI generated false legal citations that were included in a court filing, misleading the court and potentially harming the client's case.
1 source article · read the reporting →
Michael L. Ruiz v. Magellan Financial & Insurance Services (2) (D. Arizona): AI-hallucinated content in court filing, Formal public reprimand
AI-hallucinated fake quotations were included in court filings submitted by counsel Elizabeth Tate, misleading the court.
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 →
Thomas Raynard James v. Detective Kevin Conley, et al. (S.D. Florida): AI-hallucinated content in court filing, Bar Referral
AI generated hallucinated content in a court filing, affecting the legal process and the lawyers who filed it.
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 →
Akerlund v. Atlas Air, Inc., et al. (11th Cir. CA): AI-hallucinated content in court filing, Bar Referral
The system generated fake legal citations that were included in a court filing, potentially misleading the court and prejudicing the client's case.
1 source article · read the reporting →
Heriberto Perez-Castillo v. Todd W. Blanche (7th Cir. CA): AI-hallucinated content in court filing, Monetary Sanction; Admonishment; Bar Referral
The AI generated false legal citations and quotations in an appellate brief, misleading the court and harming the client's immigration appeal.
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 →
Company fires HR team after ATS auto-rejects manager's CV due to filtering error
A company's applicant tracking system (ATS) auto-rejected qualified candidates' resumes for three months because it was filtering for the outdated framework AngularJS instead of the required Angular framework. The manager discovered the flaw by submitting his own CV under a pseudonym and found it was rejected within seconds. After the manager reported the issue to upper management, the company investigated and dismissed half of its HR team. No legal action or regulatory involvement is reported.
4 source articles · read the reporting →
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 →
Mazaheri v Law Society of Ontario (Law Society Tribunal (ON)): AI-hallucinated content in court filing, Adverse Costs Order
AI generated fabricated legal citations in a court filing by Shahryar Mazaheri.
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 →
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 →
In re BFI Waste Sys. of Tenn. (M.D. Tennessee): AI-hallucinated content in court filing, Public reprimand; Monetary sanction
The AI generated false legal quotations that were submitted to the court in a legal brief.
- Company involved
- Ringger
1 source article · read the reporting →
Reaves Law Firm, PLLC v. Baker, Donelson, Bearman, Caldwell & Berkowitz, PC, et al. (W.D. Tennessee): AI-hallucinated content in court…
The AI generated fictitious legal authorities and arguments that were filed in a court motion, misleading the court and opposing counsel.
- Company involved
- Reaves Law Firm, PLLC
1 source article · read the reporting →
Four commercial large language models perpetuate race-based medical misconceptions
A study published in npj Digital Medicine tested four commercial large language models (Bard, ChatGPT, GPT-4, and Claude) for their tendency to propagate discredited race-based medical beliefs. When asked about kidney function, lung capacity, and skin thickness, the models sometimes endorsed debunked racial differences, particularly affecting Black patients. The study concludes that these biases pose a potential hazard and urges caution before using such models in clinical decision-making.
- Company involved
- Not named in article (refers to commercial LLMs generically as Google's Bard, OpenAI's ChatGPT and GPT-4, and Anthropic's Claude)
- AI system involved
- Bard, ChatGPT, GPT-4, Claude
6 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
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 →
Amazon merchants complain about AI review summaries focusing on negatives
Amazon introduced an AI-powered feature to generate summaries of customer product reviews. Merchants reported that the AI inaccurately highlights negative feedback, even when only a small percentage of reviews are critical. The summaries may exaggerate negative themes, potentially harming sales. Amazon acknowledged the issue and said it is working to refine the technology based on seller feedback.
- Company involved
- Amazon
- AI system involved
- AI-powered review highlights
5 source articles · read the reporting →
Study finds ChatGPT provides inaccurate drug information responses
A study presented at the ASHP Midyear Clinical Meeting found that ChatGPT's responses to nearly three-quarters of drug-related questions were incomplete or inaccurate. The AI system also generated fake citations to support some responses. Researchers warned that healthcare professionals and patients should verify ChatGPT's medication information using trusted sources to avoid potential harm.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
8 source articles · read the reporting →
Study finds LLMs used in up to 16.9% of AI conference peer reviews
According to a new paper on arXiv, researchers have begun using generative AI services to help write peer reviews of machine learning papers submitted to leading AI conferences. The study analysed reviews from ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023 and estimated that between 6.5% and 16.9% of review text may have been substantially modified by large language models. The authors argue that this risks depriving authors of diverse expert feedback and may skew reviews towards AI model biases. They have called for greater transparency about the use of LLMs in peer review.
9 source articles · read the reporting →
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 →
