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.
44 incidents closest to “Gradient AI Corp” · matched on meaning · public reporting
এআই দিয়ে যারা ৮০’র দশকের ট্রেন্ডিং ছবি বানিয়েছিলেন তাদের তথ্য ফাঁস! - Newszonebd
Information has been leaked of individuals who used AI to generate trending images styled after the 1980s. The incident was reported by Newszonebd.
1 source article · read the reporting →
The AI platform screened job applicants, affecting their hiring prospects.
1 source article · read the reporting →
Ranked job applicants' likelihood of success, affecting their hiring prospects.
1 source article · read the reporting →
Rona Wang, an MIT graduate, used Playground AI to generate a professional LinkedIn photo. The AI altered her appearance, giving her lighter skin and blue eyes, making her look Caucasian. The incident sparked discussion about racial bias in AI. Playground AI's founder acknowledged the issue and expressed a desire to fix it.
1 source article · read the reporting →
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
"아동 성착취물로 AI 훈련?"...머스크 xAI, 집단 소송 휘말려 - YTN
A lawsuit claims xAI used images of a plaintiff's childhood sexual abuse to train its Grok AI model without consent. The victim says AI-generated child sexual abuse material depicting them was created and spread through Grok. The suit seeks damages per violation and demands xAI block tools that generate sexual images.
1 source article · read the reporting →
The xAI data center facility generated persistent noise, vibrations, and air quality issues from gas turbines, affecting nearby residents in Southaven, Mississippi.
1 source article · read the reporting →
A fraud analyst, Leon, was targeted by scammers who used AI to create convincing fake websites for non-existent investment firms. The scammers posed as employees of Assent Advisory and directed him to elaborate sites for APPC Capital Singapore and Thackeray Mines and Minerals Inc., complete with AI-generated images and fake details. Leon recognised the scam, but the sophistication of the AI-generated content made him second-guess his own judgment. The incident highlights how AI is enabling more convincing investment scams.
1 source article · read the reporting →
OpenAI announced it banned a network of Chinese ChatGPT accounts that used the model to debug and edit code for an AI social media surveillance tool. The tool was designed to monitor anti-Chinese sentiment and protest calls on platforms such as X and Facebook and to share insights with Chinese authorities. OpenAI said the network, called Peer Review, also generated posts critical of exiled dissident Cai Xia and articles critical of the US. It was the first time OpenAI had uncovered an AI surveillance tool of this kind.
6 source articles · read the reporting →
In September 2025, Anthropic detected that its Claude Code AI was being abused by a Chinese state-sponsored group, GTG-1002, to automate cyberattacks against approximately 30 organizations. The AI conducted reconnaissance, vulnerability discovery, exploitation, and data exfiltration largely autonomously, with only basic human oversight. Anthropic banned the accounts involved and expanded its detection systems, while warning that such techniques will proliferate.
10 source articles · read the reporting →
Evolv, a company selling AI-powered weapons detection systems, has been ordered by the FTC to stop making misleading claims about its Evolv Express product. The FTC alleged that the technology is essentially a metal detector with unproven AI, and that Evolv falsely claimed it could detect guns while ignoring harmless items. A pilot in New York City subways resulted in over 100 false positives and no guns detected. The settlement requires Evolv to allow educational customers to cancel their contracts and prohibits further misrepresentations.
2 source articles · read the reporting →
The SEC charged Delphia (USA) Inc. and Global Predictions Inc. for making false and misleading statements about their use of artificial intelligence. Delphia claimed from 2019 to 2023 that it used AI and machine learning to predict investments, while Global Predictions falsely claimed in 2023 to be the 'first regulated AI financial advisor'. Both firms settled the charges without admitting or denying the findings, agreeing to pay a total of $400,000 in civil penalties and to cease and desist from further violations.
1 source article · read the reporting →
Google introduced AI Overviews, a generative AI feature in its search engine, which produced inaccurate and misleading summaries, including recommending glue on pizza and eating rocks. Users complained on social media, and Google acknowledged the errors, rolling back the feature and implementing refinements to limit unreliable sources. The company stated it would continue improving the feature.
7 source articles · read the reporting →
Threat actors used Gamma, an AI-powered presentation builder, to host a page that redirected recipients to a fake Microsoft SharePoint login portal. Emails sent from compromised legitimate accounts passed authentication checks, while a Cloudflare Turnstile blocked automated security scanners. An adversary-in-the-middle framework validated credentials in real time and captured session cookies, enabling multi-factor authentication bypass on Microsoft accounts. Abnormal reported the campaign on 15 April 2025.
7 source articles · read the reporting →
Researchers demonstrated that image-generation algorithms from OpenAI and Google, when given a cropped photo of a woman, often autocomplete her wearing a bikini or low-cut top, while men are given suits. The study, using iGPT and SimCLR, found that unsupervised learning on internet data embeds sexist and racist stereotypes. The findings raise concerns about bias in computer vision applications such as hiring and policing.
1 source article · read the reporting →
Figma removed its Make Designs AI feature after it was found to generate app mockups nearly identical to Apple's iOS weather app. The company blamed a bespoke design system that lacked variation, not the underlying AI models from OpenAI and Amazon. Figma CEO Dylan Field acknowledged the issue and said the tool will be re-enabled after improvements. The incident raised concerns about AI-generated content inadvertently infringing on existing designs.
2 source articles · read the reporting →
The Department of Government Efficiency developed an AI tool to identify unnecessary VA contracts, but it used outdated models and lacked context, leading to misclassification. At least 24 contracts were canceled, affecting cancer research and nurse care tools. The VA acknowledged the tool's role but stated all contracts undergo human review. Experts criticized the use of AI for such complex decisions.
2 source articles · read the reporting →
Grok and Google Lens AI overviews have been claiming that AI-generated images of the Huntingdon train attack are real. Grok told users one image was a genuine photo, while Google Lens claimed it was a still from a BBC news report. The AI systems also linked unrelated videos to the attack. Full Fact contacted Google, which told users they can provide feedback on errors. xAI has not yet responded.
4 source articles · read the reporting →
Elizabeth Laraki, a former Google employee, discovered that her photo for a UX and AI design conference had been altered by an AI image expansion tool. The tool unbuttoned her blouse and added a bra-like undergarment, which she noticed on the conference poster. After she contacted the organisers, they apologised and removed all content using the AI-generated image. The incident sparked discussion about the unintended consequences of AI tools.
5 source articles · read the reporting →
The AI image detection tool AI or Not, made by Optic, incorrectly labeled a photograph of a burnt corpse from the Israel-Gaza war as AI-generated. The image was originally tweeted by Israeli officials and later shared by commentators. Experts, including UC Berkeley professor Hany Farid, confirmed the image is real based on structural consistency and shadows. The false detection contributed to disinformation about the war. Optic did not respond to requests for comment.
10 source articles · read the reporting →
North Korean state-affiliated hacking group Emerald Sleet (Kimsuky) used OpenAI's ChatGPT to research targets and draft phishing content for scams on LinkedIn. Microsoft and OpenAI terminated the group's accounts after identifying the activity. The hackers impersonated academic institutions and NGOs to lure victims into providing sensitive information, with South Korea's intelligence agency confirming North Korea's use of generative AI for hacking.
6 source articles · read the reporting →
Balmoral Estates used AI to generate a design mock-up for a planned mural on Elmbank Street in Glasgow. The AI-generated image, which included a non-native bald eagle, was submitted for planning permission and approved. The commissioning artist, Rogue One, defended the use of AI as a placeholder and stated the final mural will be hand-painted by him. Critics argue human artists should have been involved from the start.
4 source articles · read the reporting →
The Texas Attorney General investigated Pieces Technologies, a Dallas-based healthcare AI company, for making false and misleading statements about the accuracy of its generative AI product used in hospitals. The company claimed an error rate of less than 1 per 100,000, but the investigation found these metrics were likely inaccurate. As part of the settlement, Pieces agreed to accurately disclose its product's accuracy and ensure hospital staff understand the appropriate reliance on its AI. The case marks the first-of-its-kind healthcare generative AI investigation by the AG.
4 source articles · read the reporting →
Duke University researchers developed PULSE, an AI tool that upscales blurry face photos using Nvidia's StyleGAN model. When tested, it generated a white face from a pixelated image of Barack Obama, revealing racial bias. The bias stemmed from StyleGAN's training data being predominantly white and the evaluation dataset CelebA being 90% white. The researchers acknowledged the issue and updated their paper, while Nvidia stated it is working to mitigate bias.
2 source articles · read the reporting →
