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Browse 8,265 companies freeA deep investigation into Stability AI (Stable Diffusion)'s data collection, privacy violations, and surveillance practices. Founded 2019 in London, United Kingdom.
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Try SeekerPro →Stability AI created Stable Diffusion, one of the most widely used open-source image generation models, and has been at the center of the AI copyright and consent debate. Stable Diffusion was trained on LAION-5B, a dataset of 5.85 billion image-text pairs scraped from the internet without consent from artists, photographers, or individuals whose likenesses appear in the data. This means the model can generate images mimicking specific living artists styles and produce convincing deepfakes of real people. Multiple class-action lawsuits from artists and photographers allege Stability AI profited from their work without permission or compensation. Getty Images sued Stability AI for using 12 million copyrighted images in training data. The company has faced severe financial difficulties, with CEO Emad Mostaque resigning in March 2024 amid reports of mismanaged finances and broken promises to investors. Despite the turmoil, Stable Diffusion remains deployed across thousands of applications, and the images it was trained on, including personal photos scraped from social media, remain embedded in the model weights with no mechanism for removal.
The following is a documented list of data points that Stability AI (Stable Diffusion) collects from users, customers, and in some cases non-users. This data powers their business model, fuels targeted advertising, and in many cases is shared with or sold to third parties including government agencies.
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Try BliniBot →Below is a timeline of documented privacy violations, regulatory fines, lawsuits, and enforcement actions against Stability AI (Stable Diffusion). These events represent only the violations that became public. The true scope of data misuse at any major company is almost certainly larger than what regulators and journalists have uncovered.
Getty Images lawsuit for using 12M copyrighted images
Ongoing
Artist class-action lawsuit (Anderson v. Stability AI)
Ongoing
CEO resigns amid financial mismanagement allegations
N/A (governance)
LAION-5B dataset found to contain CSAM material
Dataset temporarily taken down
You do not have to accept Stability AI (Stable Diffusion)'s data practices. These alternatives offer comparable functionality with significantly better privacy protections. Switching reduces the volume of personal data flowing into commercial surveillance systems and sends a market signal that privacy matters.
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Try ContentMation →Start by understanding what data Stability AI (Stable Diffusion) already has on you. Check your account settings, download your data archive if available, and review what permissions you have granted. Use OpenPublicHub to research the full scope of Stability AI (Stable Diffusion)'s data practices and compare them against industry standards.
Disable unnecessary data collection settings, revoke app permissions you do not actively need, and opt out of personalized advertising where possible. Review connected third-party apps and remove any that you no longer use. Every permission you revoke reduces your attack surface and limits the data available for profiling.
Under GDPR, CCPA, and other privacy laws, you have the right to request access to, correction of, and deletion of your personal data. File a Data Subject Access Request (DSAR) to see what Stability AI (Stable Diffusion) holds about you. Use BliniBot to automate the process across multiple companies simultaneously.
The most effective protection is to stop using privacy-invasive services entirely. The alternatives listed above offer comparable functionality without the surveillance. Start with the service you use most frequently and work through the list. Every user who switches sends a market signal that privacy is a competitive advantage.
Privacy threats evolve constantly. Follow this expose and related reports on OpenPublicHub to stay updated on Stability AI (Stable Diffusion)'s practices. Share this page with friends and colleagues so they can protect themselves too. Collective action and informed consumers are the most powerful force for changing corporate behavior.
If your photos were publicly available on the internet between 2015-2023, they may be in the LAION-5B dataset used to train Stable Diffusion. The dataset contains 5.85 billion image-text pairs scraped without consent. You can check if your images are included using the Have I Been Trained tool at haveibeentrained.com.
Yes. Because the training data includes photos of real people, Stable Diffusion and its derivatives can generate realistic images of identifiable individuals in any context. This capability has been used to create non-consensual intimate images, prompting legislative action in multiple jurisdictions.
Stanford researchers found that LAION-5B, the dataset used to train Stable Diffusion, contained child sexual abuse material (CSAM). The dataset was temporarily taken down in December 2023 for cleanup. This revelation highlighted the dangers of scraping the internet indiscriminately for AI training data.
Upgrade to SeekerPro for deep-dive reports on every company that touches your data. Members get breach timelines, violat...
Try SeekerPro →Run a free privacy and compliance scan on any website in 60 seconds. NexusBro checks cookie consent, hidden trackers, th...
Try NexusBro →Stop spending hours filing DSAR requests and opt-out forms manually. BliniBot automates data deletion requests, cookie c...
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