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LinkedIn: Proposed Class Action Lawsuit’s Claims Have ‘No Merit’ | PYMNTS.com

Jan 22, 2025 - pymnts.com
LinkedIn is facing a proposed class action lawsuit alleging that the platform disclosed Premium customers’ private InMail messages to third parties without consent to train generative AI models. The lawsuit claims LinkedIn was aware of the privacy violation and attempted to conceal it by updating its privacy policy in September to allow data usage for AI training, while stating that opting out of data sharing would not affect past training. The lawsuit seeks damages for breach of contract, violation of California’s unfair competition law, and violations of the federal Stored Communications Act. LinkedIn has denied the allegations, calling them baseless.

The controversy highlights growing concerns over data privacy and consumer trust, with 93% of consumers reportedly worried about the security of their personal information online. This case follows a similar privacy lawsuit involving Apple, which settled for $95 million over claims that its voice assistant Siri shared private conversations without consent. Apple stated that Siri data was used solely to improve the service and not for marketing purposes. The LinkedIn case underscores the potential risks businesses face regarding digital footprints and sensitive information.

Key takeaways:

  • LinkedIn is facing a proposed class action lawsuit for allegedly disclosing Premium customers’ private InMail messages to third parties to train AI models without permission.
  • The lawsuit claims LinkedIn updated its privacy policy in September to justify the use of data for AI training and added an FAQ link stating that opting out does not affect past data usage.
  • The proposed class action seeks damages for breach of contract, violation of California’s unfair competition law, and violations of the federal Stored Communications Act.
  • Apple recently settled a privacy lawsuit for $95 million over allegations that Siri shared private discussions with third parties without users’ consent.
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