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    Home > Headlines > LinkedIn lawsuit over use of customer data for AI models is dismissed
    Headlines

    LinkedIn lawsuit over use of customer data for AI models is dismissed

    Published by Global Banking and Finance Review

    Posted on January 31, 2025

    2 min read

    Last updated: January 26, 2026

    Image featuring the LinkedIn logo with AI and data privacy symbols, illustrating the recent lawsuit dismissal regarding customer data use for AI training. This visual relates to LinkedIn's legal challenges and privacy issues.
    LinkedIn logo surrounded by AI icons, highlighting data privacy concerns - Global Banking & Finance Review
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    Tags:customerstechnologyinnovationArtificial Intelligence

    Quick Summary

    LinkedIn's lawsuit over using customer data for AI models was dismissed, with the company confirming no private messages were used for AI training.

    LinkedIn's Customer Data Lawsuit Dismissed Amid AI Training Concerns

    By Jonathan Stempel

    (Reuters) - A proposed class action accusing Microsoft's LinkedIn of violating the privacy of millions of Premium customers by disclosing their private messages to train generative artificial intelligence models has been dismissed.

    The plaintiff Alessandro De La Torre on Thursday filed a notice of dismissal without prejudice in the San Jose, California federal court, nine days after suing LinkedIn, and after the company said the lawsuit had no merit.

    De La Torre accused the business-focused social media platform of breaking a promise to use personal customer data only to improve its services, by sharing customers' messages with third parties involved in AI.

    The complaint said LinkedIn revealed the unauthorized sharing when it updated its privacy policy in September, and said a new account setting to prevent data sharing would not affect previous AI training.

    "LinkedIn's belated disclosures here left consumers rightly concerned and confused about what was being used to train AI," Eli Wade-Scott, managing partner at Edelson PC, which represented De La Torre, said in an email on Friday.

    "Users can take comfort, at least, that LinkedIn has shown us evidence that it did not use their private messages to do that," he added. "We appreciate the professionalism of LinkedIn's team."

    In a LinkedIn post on Thursday, Sarah Wight, a lawyer and vice president for the company, confirmed that LinkedIn did not disclose customers' private messages for AI training. "We never did that," she said.

    (Reporting by Jonathan Stempel in New York; Editing by Bill Berkrot)

    Key Takeaways

    • •LinkedIn's lawsuit over customer data use for AI dismissed.
    • •The lawsuit was filed by Alessandro De La Torre.
    • •LinkedIn confirmed no private messages were used for AI training.
    • •The lawsuit was dismissed without prejudice.
    • •LinkedIn updated its privacy policy in September.

    Frequently Asked Questions about LinkedIn lawsuit over use of customer data for AI models is dismissed

    1What was the basis of the lawsuit against LinkedIn?

    The lawsuit accused LinkedIn of violating the privacy of its Premium customers by disclosing their private messages to train generative AI models.

    2What did the plaintiff do shortly after filing the lawsuit?

    Alessandro De La Torre filed a notice of dismissal without prejudice in the San Jose federal court, just nine days after suing LinkedIn.

    3How did LinkedIn respond to the allegations?

    LinkedIn stated that it did not disclose customers' private messages for AI training, as confirmed by Sarah Wight, a lawyer and vice president for the company.

    4What concerns did the lawsuit raise among users?

    The complaint highlighted that LinkedIn's updates to its privacy policy left consumers concerned and confused about how their data was being used for AI training.

    5What was the outcome of the lawsuit?

    The lawsuit was dismissed after the plaintiff filed a notice of dismissal, and LinkedIn provided evidence that it did not use private messages for AI training.

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