Lawsuit Against LinkedIn Over AI Training Dismissed
A proposed class action lawsuit against LinkedIn, accusing the platform of misusing the private messages of its Premium customers to train generative artificial intelligence (AI) models, was dismissed after new evidence was presented. The lawsuit, filed by Alessandro De La Torre on January 2025, alleged that LinkedIn had violated its privacy agreements by sharing private message data with third parties for AI development purposes without customer consent. However, just nine days after initiating the case, De La Torre filed a notice of dismissal without prejudice in a federal court in San Jose, California, effectively withdrawing the claim.
The Basis of the Lawsuit: Data Privacy Concerns
The core of the lawsuit stemmed from LinkedIn’s updated privacy policy in September 2024. This update revealed that LinkedIn shared customer data with third-party entities, which raised concerns about the potential use of private messages for training generative AI models. The lawsuit argued that this practice violated LinkedIn’s commitment to safeguarding users’ personal information. Specifically, De La Torre accused LinkedIn of breaching its privacy policies, which assured customers that their personal data would be used only to improve the platform’s services, not for third-party data mining or AI training.
LinkedIn’s Defense: Evidence of Compliance
LinkedIn, in response to the lawsuit, denied the allegations and provided evidence that it had not used Premium customers’ private messages to train AI models. The company clarified that its updated privacy policy had been misunderstood, and it had not violated its promises regarding user data. LinkedIn’s legal team presented this evidence to the court, which helped lead to the dismissal of the case. As part of its defense, LinkedIn’s Vice President, Sarah Wight, took to LinkedIn itself to emphasize that the company had never used its users’ private messages to train generative AI models. She reassured users that the platform had maintained its commitment to protecting user data and had not misused private communication for any external purposes.
The Outcome: Case Dismissed and Allegations Withdrawn
Eli Wade-Scott, the managing partner at Edelson PC, the law firm representing De La Torre, acknowledged that LinkedIn had provided sufficient evidence to show that it had not used private messages for AI training. This revelation led to the decision to withdraw the lawsuit and dismiss the claims. The case was officially closed on January 30, 2025, with the plaintiff deciding not to pursue further legal action at that time
The Bigger Picture: Growing Privacy Concerns in the Tech Industry
The dismissal of the class action highlights the complexities surrounding data privacy in the digital age, especially when it comes to how companies handle personal information. With the rise of generative AI, many platforms, including LinkedIn, are facing increased scrutiny over how they use user data, particularly for training AI models. This lawsuit came amid a growing number of legal challenges in the tech industry, as consumers become more aware of how their personal information is utilized by corporations and third-party developers.
Looking Ahead: The Future of AI and Data Privacy
While the lawsuit against LinkedIn has been dismissed, the issue of data privacy and AI training remains a pressing concern for many users and regulatory bodies. The case also brings attention to the broader debate over whether users fully understand how their data is being collected and used by companies, especially when such policies are updated without thorough explanation. As companies continue to update their privacy policies to reflect new technologies like AI, it is essential for them to maintain transparency and provide clear information to their users to avoid potential legal challenges.
Setting a Precedent: Regulation and Ethical Use of AI Data
This case also underscores the need for clearer regulations around AI training and data usage. As generative AI models become more sophisticated, there will likely be increasing pressure on companies to ensure they use user data responsibly and in compliance with privacy laws. The outcome of this lawsuit could set a precedent for similar cases in the future, potentially shaping how tech companies handle and disclose their data usage practices to the public.
