Close Menu
futures-bitcoin
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    Facebook X (Twitter) Instagram
    futures-bitcoin
    • Home
    • Bitcoin
    • Bitcoin Mining
    • Business
    • Technology
    • Contact Us
    futures-bitcoin
    Home - A major AI training data set contains millions of examples of personal data
    A major AI training data set contains millions of examples of personal data
    Technology

    A major AI training data set contains millions of examples of personal data

    adminBy adminJuly 19, 2025No Comments3 Mins Read
    Share
    Facebook Twitter LinkedIn Pinterest Email


    The bottom line, says William Agnew, a postdoctoral fellow in AI ethics at Carnegie Mellon University and one of the coauthors, is that “anything you put online can [be] and probably has been scraped.”

    The researchers found thousands of instances of validated identity documents—including images of credit cards, driver’s licenses, passports, and birth certificates—as well as over 800 validated job application documents (including résumés and cover letters), which were confirmed through LinkedIn and other web searches as being associated with real people. (In many more cases, the researchers did not have time to validate the documents or were unable to because of issues like image clarity.) 

    A number of the résumés disclosed sensitive information including disability status, the results of background checks, birth dates and birthplaces of dependents, and race. When résumés were linked to people with online presences, researchers also found contact information, government identifiers, sociodemographic information, face photographs, home addresses, and the contact information of other people (like references).

    ""
    Examples of identity-related documents found in CommonPool’s small-scale data set show a credit card, a Social Security number, and a driver’s license. For each sample, the type of URL site is shown at the top, the image in the middle, and the caption in quotes below. All personal information has been replaced, and text has been paraphrased to avoid direct quotations. Images have been redacted to show the presence of faces without identifying the individuals.

    COURTESY OF THE RESEARCHERS

    When it was released in 2023, DataComp CommonPool, with its 12.8 billion data samples, was the largest existing data set of publicly available image-text pairs, which are often used to train generative text-to-image models. While its curators said that CommonPool was intended for academic research, its license does not prohibit commercial use as well. 

    CommonPool was created as a follow-up to the LAION-5B data set, which was used to train models including Stable Diffusion and Midjourney. It draws on the same data source: web scraping done by the nonprofit Common Crawl between 2014 and 2022. 

    While commercial models often do not disclose what data sets they are trained on, the shared data sources of DataComp CommonPool and LAION-5B mean that the data sets are similar, and that the same personally identifiable information likely appears in LAION-5B, as well as in other downstream models trained on CommonPool data. CommonPool researchers did not respond to emailed questions.

    And since DataComp CommonPool has been downloaded more than 2 million times over the past two years, it is likely that “there [are]many downstream models that are all trained on this exact data set,” says Rachel Hong, a PhD student in computer science at the University of Washington and the paper’s lead author. Those would duplicate similar privacy risks.

    Good intentions are not enough

    “You can assume that any large-scale web-scraped data always contains content that shouldn’t be there,” says Abeba Birhane, a cognitive scientist and tech ethicist who leads Trinity College Dublin’s AI Accountability Lab—whether it’s personally identifiable information (PII), child sexual abuse imagery, or hate speech (which Birhane’s own research into LAION-5B has found). 



    Source link

    Post Views: 13
    Data examples major millions personal Set Training
    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    admin
    • Website

    Related Posts

    How to Build a Personal Brand That Actually Drives Business Results [+ Video]

    July 25, 2025

    Phillip Carter on Where Generative AI Meets Observability – O’Reilly

    July 25, 2025

    Spatial Web: Transforming Device Interactions

    July 24, 2025

    Super Pocket Neo Geo Edition Review: Pocketable Fun

    July 23, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    About

    At Futures Bitcoin, we are passionate about the revolutionary potential of Bitcoin and the transformative power of futures trading. Our platform is dedicated to providing a seamless and secure environment for traders to engage in Bitcoin futures trading, backed by cutting-edge technology and a commitment to excellence.

    Get Informed

    Subscribe to Updates

    Get the latest creative news from farm-bitcoin about crypto, bitcoin, business and technology.

    Loading
    Top Insights

    How to Build a Personal Brand That Actually Drives Business Results [+ Video]

    July 25, 2025

    Phillip Carter on Where Generative AI Meets Observability – O’Reilly

    July 25, 2025
    Facebook X (Twitter) Instagram Pinterest
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    Copyright 2025 Futures-Bitcoin Design By Prince Ayaan.

    Type above and press Enter to search. Press Esc to cancel.