Jan 31 (Reuters) - A proposed class action accusing

Microsoft's ( MSFT ) 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.