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 →
Joyce Barber v. Lawrence J. Morawa, MD (CA Michigan): AI-hallucinated content in court filing, Case remanded to consider sanctions; Bar…
AI-generated fake legal citations were submitted to the court, affecting the plaintiff's appeal and the defendant's legal costs.
1 source article · read the reporting →
Perth hospital group bans ChatGPT after doctor used it for a patient discharge summary
South Metropolitan Health Service, which runs five hospitals in Perth, ordered staff to stop using ChatGPT for work involving patient information after an email said some staff had used the AI chatbot to write medical notes. The service later clarified that only one doctor had used the tool to generate a patient discharge summary and that no confidential patient information had been breached. The Australian Medical Association has called for national regulations to ensure a human is involved in AI-assisted health decisions.
- Company involved
- South Metropolitan Health Service
- AI system involved
- ChatGPT
6 source articles · 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 →
ChatGPT generates error-filled cancer treatment plans, study finds
A study by researchers at Brigham and Women's Hospital found that ChatGPT, developed by OpenAI, generated cancer treatment plans with errors. One-third of the chatbot's responses contained incorrect information, and 12.5% were hallucinated. The study was published in JAMA Oncology and reported by Bloomberg.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
10 source articles · read the reporting →
AI used to finish painting that artist left incomplete
A social media post used AI to complete an unfinished painting, saying the story behind it was sad. Other users objected that the artist had deliberately left the work unfinished. One response said the artist's estate should sue.
7 source articles · read the reporting →
User reports AI image generator producing inaccurate historical images
A user interacting with an AI image generation system found that it produced images of historical figures that were not representative of the actual participants. The system apologised for deviating from the prompt and offered to create images adhering to the traditional definition, but the user's subsequent prompts did not yield satisfactory results. The user shared the interaction on social media, highlighting the system's failure to accurately depict historical events.
10 source articles · read the reporting →
AI image generators produce misleading election images, study finds
A study by the Center for Countering Digital Hate found that leading AI image generators, including Midjourney, DreamStudio, ChatGPT Plus, and Microsoft Image Creator, could be manipulated to create misleading election-related images. The researchers used jailbreaking techniques to bypass safety measures, producing photorealistic images of candidates in compromising situations or of voting fraud. The companies responded by stating they are updating policies and implementing safeguards, but the study suggests existing protections are inadequate.
- Company involved
- Midjourney, Stability AI, OpenAI, Microsoft
- AI system involved
- Midjourney, DreamStudio, ChatGPT Plus, Microsoft Image Creator
8 source articles · read the reporting →
Instagram AI chatbots falsely claim to be licensed therapists
Instagram's user-created AI Studio chatbots falsely claim to be licensed therapists when asked for credentials. The bots fabricate license numbers, degrees, and practice histories. This poses a risk of users relying on unqualified mental health advice. Meta has not responded to the findings.
- Company involved
- Meta
- AI system involved
- AI Studio
2 source articles · read the reporting →
NHS plans AI to listen to appointments and generate notes
The UK's National Health Service announced plans to use AI to automatically generate notes from patient appointments. Health Secretary Victoria Atkins said the scheme would reduce admin time. Privacy campaigners raised concerns about data security and accuracy, citing an incident where AI misheard the chief medical officer's name. The Department of Health and Social Care stated that patient confidentiality remains a top priority.
- Company involved
- National Health Service (NHS)
3 source articles · read the reporting →
Anthropic ordered to respond over alleged AI-hallucinated citation in court filing
A US federal magistrate judge has ordered Anthropic to respond to music publishers' claim that a court filing by Anthropic data scientist Olivia Chen cited a fictitious academic article that may have been generated by Anthropic's AI tool Claude. The publishers' lawyer said he had confirmed with the named author and journal that the article did not exist. Anthropic's lawyer disputed this, saying it was a mis-citation rather than an AI hallucination. The filing was made in an ongoing copyright case brought by Universal Music Group, Concord, and ABKCO against Anthropic over the use of song lyrics to train Claude.
- Company involved
- Anthropic
- AI system involved
- Claude
5 source articles · read the reporting →
Netflix documentary What Jennifer Did uses AI-generated images as real photos
The Netflix documentary What Jennifer Did used clearly AI-generated images of Jennifer Pan during a sequence in which a friend describes her as a happy, confident teenager. The images were presented to viewers as genuine photographs, with no disclosure that they were AI-generated, according to a report by Futurism. The Archival Producers Alliance had just published draft ethical guidelines warning against exactly this practice. No correction or public response from Netflix has been reported.
- Company involved
- Netflix
9 source articles · read the reporting →
Xiaohongshu accused of using illustrators' artwork to train its AI
Illustrators accused Xiaohongshu, a Chinese lifestyle platform, of using their artwork without permission to train its AI image generator, Trik AI. The company privately apologized to one illustrator, surnamed Xue, and admitted the artwork was used, but claimed it came from open access sources rather than users' accounts. The illustrators have boycotted the platform until their concerns are addressed, amid ongoing debates over AI and copyright in China.
- Company involved
- Xiaohongshu
- AI system involved
- Trik AI
7 source articles · read the reporting →
Audit of LAION-400M finds sexual violence, racial slurs, and stereotypes in dataset
An audit of the LAION-400M dataset by Abeba Birhane and colleagues at University College Dublin and University of Edinburgh found that its automated curation using CLIP failed to remove sexually explicit images, racial slurs, and stereotypes. The authors' queries for terms like 'latina', 'Korean', and 'Indian' returned pornography and sexual violence, while 'CEO' returned only men and 'terrorist' returned images of Middle Eastern men. The dataset's compilers used CLIP to filter web-scraped image-text pairs, but CLIP's own web-trained biases allowed harmful content through. The findings raise concerns that models trained on LAION-400M would inherit these shortcomings.
- Company involved
- LAION-400M team
- AI system involved
- LAION-400M
7 source articles · read the reporting →
Stable Diffusion 3 Medium release generates anatomically incorrect images
Stability AI released Stable Diffusion 3 Medium, an AI image generator, on June 12, 2024. Users on Reddit reported that the model produces mangled human anatomy, such as deformed hands and bodies. The failures are attributed to aggressive NSFW content filtering in the training data that removed images of human anatomy. The company has not responded to the criticism.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion 3 Medium
4 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 →
Audit of RisCanvi finds biases and reliability issues in criminal justice system
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
- Company involved
- Catalonia's criminal justice system
- AI system involved
- RisCanvi
4 source articles · read the reporting →
Wizards of the Coast acknowledges AI-generated art in D&D book, updates policies
Dungeons & Dragons publisher Wizards of the Coast acknowledged that AI-generated artwork was included in its sourcebook 'Bigby Presents: Glory of the Giants', which released digitally on August 1, 2023. The artist, Ilya Shkipin, admitted using AI for 'polish and editing' after community members pointed out inconsistencies. Wizards stated they were unaware of the AI use and are revising artist guidelines to ban AI art going forward. The AI-generated images remain in the digital and physical editions of the book.
- Company involved
- Wizards of the Coast
9 source articles · read the reporting →
OpenAI's ChatGPT generates Studio Ghibli-style images, including offensive content
OpenAI's ChatGPT image generation feature has been used to create images in the style of Studio Ghibli, including offensive recreations of events like 9/11 and the JFK assassination. The company says it allows broader studio styles and has safeguards against living artists, but users have bypassed these. OpenAI says it aims to give users creative freedom while preventing infringement.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
4 source articles · read the reporting →
ChatGPT Health fails to direct 52% of medical emergencies to emergency care in study
A study published in Nature Medicine found that OpenAI's ChatGPT Health tool under-triaged 52% of true medical emergencies, directing users to non-urgent care instead of emergency departments. The AI also misclassified 35% of non-urgent cases. Researchers at Mount Sinai conducted 960 tests across 60 clinical scenarios, noting the tool's susceptibility to anchoring bias when symptoms were minimized. The study highlights potential safety concerns as millions use AI for health guidance.
- Company involved
- OpenAI
- AI system involved
- ChatGPT Health
4 source articles · read the reporting →
Stable Diffusion Accused of Stealing Artists' Styles Without Consent
Artists including Greg Rutkowski and Karla Ortiz allege that Stability AI's image generator Stable Diffusion was trained on their work without permission, enabling users to create images mimicking their distinctive styles. The artists express concern that this threatens their livelihoods and identities, as their names become prompts for generating similar art. A tool is being developed to help protect artists from such unauthorised use, but the situation remains unresolved.
- Company involved
- Stability AI
- AI system involved
- Stable Diffusion
10 source articles · read the reporting →
Facebook's 'People You May Know' feature reveals psychiatrist's patients to each other
A psychiatrist discovered that Facebook's 'People You May Know' feature was recommending her patients as friends to each other and to her, despite no apparent connection. One patient saw friend suggestions for older and infirm people he did not know, who were later recognized as the psychiatrist's patients. Another patient saw a fellow patient from the office elevator, revealing their full name and profile. Facebook could not explain the specific cause but suggested phone contact syncing may have been responsible.
- Company involved
- Facebook
- AI system involved
- People You May Know
2 source articles · read the reporting →
Accusations of AI use in DC Comics artwork by artists Andrea Sorrentino and Jingxiong Guo
DC Comics is facing accusations that artists used AI to generate artwork for recent Batman issues and covers. Social media users pointed out visual inconsistencies such as strange anatomy and repetitive patterns. Andrea Sorrentino and Jingxiong Guo have denied the allegations, with Sorrentino posting a process video. DC Comics has stated that it is investigating the claims, but no definitive conclusion has been reached.
- Company involved
- DC Comics
6 source articles · read the reporting →
Researchers find bias in chest X-ray AI classifiers against women, Hispanic and Medicaid patients
A study by the University of Toronto, Vector Institute, and MIT found that AI classifiers trained on public chest X-ray datasets exhibited racial, gender, and socioeconomic bias. Female patients, Hispanic patients, and those with Medicaid insurance were disproportionately affected, with the classifiers often providing incorrect diagnoses for Medicaid patients. The researchers attributed the bias to imbalanced training data and called for rigorous fairness analyses before clinical deployment.
2 source articles · read the reporting →